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About LangChain:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.About the role:LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.What you will do:Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retentionBuild flexible experimentation systems and processes capable of targeting diverse growth metricsParticipate in data-driven, rapid growth experiments across the user funnel from onboarding to monetizationDesign and ship new onboarding features and improvements that accelerate time to valueBuild growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAsCollaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunitiesHow to be successful in this role:Extensive fullstack software development experience using React, TypeScript, and Go and/or PythonStrong product intuition and a track record of working on monetization, pricing, or activation featuresFamiliarity with usage metering, subscriptions, and internal tooling for pricing experimentsComfortable working with REST APIs, Postgres, Redis, and modern backend infraStartup DNA with the ability to thrive in fast-paced, zero-to-one environmentsSelf-directed with an ownership mindsetBonus: Experience building for developers or product-led growth platformsBonus: Familiarity with LLMs, GenAI applications, or agentic frameworks

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview As a Deployment Operations Specialist, you will be the connective tissue between customers, product, and engineering teams. You will ensure that our robotic systems deliver consistent value in the field, proactively resolve operational challenges, and build processes that scale. This role requires a unique mix of technical acumen, customer empathy, and operational rigor. Responsibilities Customer Site Operations: Oversee daily operations at customer locations, ensuring robotic systems function reliably and meet service expectations. Customer Satisfaction: Enhance the customer experience during deployments by identifying pain points, driving solutions, and ensuring smooth handoffs between teams. Change Management: Manage customer change requests, clearly communicating schedule and budget impacts to all stakeholders. Issue Management: Act as the supporting point of contact for escalated technical issues, including root cause analysis and early detection of system anomalies. Field Testing & Maintenance: Assist with site mapping, on-site system testing, preventative maintenance, and upgrades to ensure long-term reliability. Performance Reporting: Compile, analyze, and present operational performance metrics (e.g., task success rates, system health) for regular reviews. Transition check-ins from weekly (during pilot) to monthly or quarterly for steady-state operations. Process Improvement: Identify, design, and implement process improvements that enhance operational efficiency and customer outcomes. Training & Enablement: Coordinate customer training sessions and establish scalable support models for customer success teams. Travel: Spend up to 20% of your time traveling to customer sites for deployment support, operational reviews, and field testing. Preferred Qualifications 6+ years of experience in product operations, technical operations, or field deployment (preferably robotics, hardware + software systems, or complex enterprise SaaS). Strong technical problem-solving skills with the ability to quickly learn complex systems. Proven track record of supporting cross-functional customer stakeholders, product, and engineering.  Excellent communication and organizational skills with the ability to distill complex issues into clear updates. Experience with performance metrics reporting, root cause analysis, and operational process improvement.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a Robotics Technician to help sustain and improve Skild’s internal robot operations. In this role, you will take ownership of complex diagnostics, repairs, and design improvements to keep our robotic systems running smoothly. You will work closely with AI and robotics engineers, as well as operations managers, to ensure technical issues are quickly identified, root-caused, and resolved—driving reliability and scalability across our fleet. Responsibilities Diagnose, troubleshoot, and repair complex mechanical, electrical, software, and perception system issues across a large fleet of robots. Collaborate with engineers to identify recurring issues, recommend design improvements, and enhance serviceability. Communicate technical findings clearly and contribute to documentation, repair manuals, and troubleshooting guides. Perform CAD design, prototype fabrication, and robotic hardware assembly. Improve embedded control systems and implement electromechanical and perception systems. Conduct root cause analysis, debugging, and testing for sensors, edge compute devices, and control systems. Build dashboards (Looker, Tableau) and develop automation scripts in Python and Linux. Maintain detailed records of repairs, maintenance activities, and recurring technical issues. Preferred Qualifications 5+ years of full time work experience in relevant industry Strong experience in diagnosing and repairing mechanical, electrical, and software systems. Proficiency in CAD design and prototype fabrication. Familiarity with embedded control systems, perception technologies, and electromechanical components. Excellent communication skills for cross-functional collaboration. Experience supporting large fleets of robots or complex automated systems.  

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About LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in Australia,The largest bank for teens in the US,One of the largest NFT marketplaces by trading volumeOne of the largest Web3 gaming companies… and a handful of other enterprise customers with over 1 million support tickets a year.What’s unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers will take ownership of challenging problems and define and implement solutions.Warm, mature, in-person, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We value working together in office as the default in our (quite nice!) Surry Hills office. Folks on the team have young families, so we embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We’re building a small, great team. Engineers are generally underpaid in Sydney and under compensated with equity. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because they’re investors and owners too.On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilites and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!About the role and youYou'll be building a powerful project that is truly innovating the world of customer support. Together we'll be defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs.We'd love to speak with you ifYou are excited by working with a top caliber team tackling the aboveYou have 2-5 years of experience shipping code at a startup or larger company with high standardsYou're looking for a career-defining change to grow rapidly with a fast growing companyIf you don't quite match this and are from and under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences..

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.  Position Overview You will have the unique opportunity to work with our cutting-edge robots and help shape the future of their capabilities. Data collection is a critical component of building robotic intelligence, and we're looking for operators who have a high degree of attention to detail, ability to learn and follow instructions for new setups and tasks quickly, and a problem-solving attitude. Responsibilities Operate robotic systems for assigned tasks (e.g., packing, insertion, assembly, etc.). Follow established procedures for teleoperation and data collection. Maintain efficiency, safety, and instructional accuracy in robotic operations. Collaborate with supervisors and team leads to optimize workflow. Adhere to company policies regarding workplace conduct and performance standards. Preferred Qualifications Physical ability to remain seated for extended periods and perform repetitive tasks Ability to communicate and follow instructions Baseline technical literacy Other Details This role requires you to be available for a minimum of 3 8-hour shifts per week. You will be expected to meet a bar of performance on both the quality and quantity of the data you collect.   

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other.The RoleWe're hiring a Senior Product Engineer to be a technical driver on the Tavus Platform.This isn’t your first rodeo. You’ve built from 0→1 before, you have strong opinions about architecture and design, and you know how to ship polished, high-performing web experiences. You’ll work closely with design, product, and engineering leadership to build intuitive and beautiful experiences, fast.You’ll spend roughly 70% of your time on the frontend, crafting elegant, performant user interfaces, and 30% on the backend, wiring up APIs, integrations, and systems that make the magic happen. You’ll be an early technical voice helping shape not just what we build, but how we build from architecture decisions to our culture of speed and quality.If you thrive in environments where ownership is real, ambiguity is high, and shipping fast is the norm then you’ll feel right at home here.Your MissionJump into our existing React codebase and own the development and delivery of platform features, from ideation to launch while upholding a high UX bar. You’ll work closely across many team (design, research, etc) to shape the product direction. We move fast and keep our layers thin so you’ll have an outsized voice in deciding what we build, how we prioritize, and how users experience the platform.Contribute across the full product stack as needed to ensure seamless product continuityRequirementsYou've worked on multiple consumer-facing products, ideally from scratch You care deeply about design and user experience - you have strong taste and the confidence to defend it You bring a senior mindset: you set direction, own decisions, and gets things over the finish line. Shipping is a skilled and you've honed it You thrive in startup environments where you can be autonomous, opinionated, and fast-moving You communicate the complex with incredible clarity and leverage your communication abilities to teach othersNice-to-HavesExposure to LLMs, video, or AI/ML-powered products Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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We’re hiring a Product Designer to craft the interfaces and experiences that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll design and ship high-performance UIs, prototype new interaction models, and ensure our frontend is as scalable and reliable as the infrastructure it represents.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What You’ll Do:Design and ship high‑quality product experiences—from early concepts to polished prototypes and visuals.Translate complex AI reasoning into an actionable experience providing wisdom.Own our visual language and design system to ensure pixel-perfect, consistent execution.Use research, data, and iteration to continually improve the end‑to‑end experience.Work closely with engineering to ship high-fidelity experiences with systems thinking.What you bring:A portfolio that shows real product and business impact.Deep UX expertise—clear user flows, interaction design, and usability.Sharp visual craft across design, typography, and layout; a refined eye for detail.Experience designing data‑rich or AI‑native interfaces.Comfortable in a fast-moving, high-performance startup environment.Excited to dive into agents and LLMs and help define how AI‑first products should look and behave.Bonus:Experience with data-intensive products, developer tools, or observability platforms.Exposure to real-time applications or non-deterministic UX (e.g., AI/ML systems).Experience at an early-stage startup, ideally in a role where design and engineering were closely intertwined.Strong product thinking skills.Who you are:Identify as a builder.Are excited to work in-person from our new and spacious office in New York.Love working in a startup environment (experience in a startup or obsession with going zero-to-one).Enjoy working with people who are ambitious, caring, and think in systems.Thrive in a fast-paced iterative environment where experimentation is essential.What we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the role.Product thinking Interviews: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews, while also having the chance to share your work.Decision – We’ll move fast.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:Crusoe Developer Productivity is a new team charged with fueling the future of Crusoe’s developer muscle. We set the tone for how engineering is done, ensuring that as Crusoe grows, their developer systems and code delivery capacity grow as well. We have a very broad charter that spans the software life cycle from design through coding, testing, and deployment. Our mission is to empower Crusoe engineers to deliver positive change to customers quickly, safely and efficiently. As an early member of the Developer Productivity team, you will play a key part in unlocking the potential of Crusoe’s coding ecosystem. At Crusoe, you will be challenged with deep problems such as kernel upgrades as well as broad problems such as establishing first principles around unit testing, code reviews and rollouts.As a member of this team, you will take a key role in contributing to technical direction, communicating a strategic vision, and establishing a company culture of engineering excellence. You will work alongside stakeholders and customers to ensure that our work is aligned with long term company objectives - informing those objectives along the way. You’ll also lead efforts to define the future state of Crusoe’s evolving and rapidly growing software development efforts.A Day In The Life:Partner with the broader engineering organization to build and define standard practices for how services are operated and observed throughout their lifecycle.Establish an opinionated, flexible and cost-effective toolchain for delivering customer value at scale.Fully integrate Crusoe’s developer systems to keep our developers in the flow state, ruthlessly eliminating toil that slows us down.Immerse yourself in the developer experience so that you can identify and eliminate pain points.Create libraries, tools, and pre-production environments for vetting service APIs and interactions between microservices.Unify both internal tooling and vendor services to automate, build efficiency, and optimize security.Innovate across the development lifecycle from source code, editors, build, CI, CD, platform runtime environments, telemetry, optimizations, monitoring and alerting.Establish a culture of continuous quality delivery that scales as Crusoe scales.Work diligently to build quality, efficient systems and processes to increase the impact of engineers around you.You Will Thrive In This Role If You Have:You have expertise in understanding technical decisions, evaluating tradeoffs, and how these decisions impact individuals who will use what you build to optimize their work.Are knowledgeable on how to leverage Gitlab to work with multiple repositories or Github.You have fluent knowledge of industry-standard build tooling, containerization, and open source development tools, libraries, and frameworks.Have experience working with modern build systems like Buck, Bazel, or others.Have professional experience working with Kubernetes clusters or Kubernetes in general.You have an understanding of testing infrastructure.Experience with DevOps, Site Reliability, Release Engineering, or similar.Bonus points if you have hands on working experience with Linux image construction - not just kernel but package building.You have experience in relevant and modern open source programming languages (we use Golang).You have empathy for building developer and operator workflows and productivity.You have a passion for staying current on recent industry practices, open source advancements and an efficient developer community.You like solving complex problems and then automating the solutions.You enjoy working side-by-side with other top-notch engineers.You hold either a BS or MS Degree in an Engineering or Analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent experience.Benefits:Hybrid work scheduleIndustry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $100 per pay periodCompensation RangeCompensation will be paid in the range of $131,000 - $184,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About LangChain: At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.About the role:Our Applied AI team is the core team actually building AI products. In this role you’ll implement various AI powered workflows, agents and full-stack applications. The workflows and applications you build will be for both internal usage and customer facing products. Much of the work you do will be open-sourced helping advance the OSS AI ecosystem. This role is onsite in San Francisco (preferred), New York, or Boston.You will:Implement AI workflows/applications end to end.Stay up to date with progress in agent development, and implementation techniques.Design and iterate on novel AI architectures to solve real world tasks.Build evaluation pipelines to test the agents you implement.How to be successful in this role:3+ years of software engineering experience including 1+ year building AI applications professionally.Experience implementing evaluations for agents/workflows.A subject matter expert in the components that make up an AI application, and how/when to best utilize each: prompting/context engineering, retrieval methods, agent architecture, LLM inference APIs & what LLMs preform best in specific tasks (e.g. Gemini for multimodal).Strong coding skills in Python or TypeScript, ideally both.Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders.Startup DNA. The ability to thrive in a fast-moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and help drive he future success of the company.A naturally curious person, always interested in learning new skills and growing as an engineer.Nice to Have:Expertise in LangChain/LangGraph.Experience in Applied AI research roles.Experience building full-stack applications end-to-end, including both design/frontend & backend implementation.Processionally proficient in both Python and TypeScript.Experience maintaining open-source projects.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Product Design Engineering team is responsible for ideating, designing, engineering, and creating the next generation of connected, AI-powered products driving the future of intelligent devices. The PD team is integral in defining products, working closely with industrial designers, hardware engineers, software engineers, and interaction designers to bring ideas to life. We value creativity and breaking down barriers. We iterate, iterate, and iterate again until it’s right. We seek passionate individuals who aren’t afraid to step outside their comfort zone. What You Might Do Design and develop cutting-edge intelligent devices Drive product development with our manufacturing partners; some travel abroad may be required Build prototypes, test them to failure, and iterate quickly Help define and drive the product roadmap and timelines Essential Qualifications 5+ years mechanical design experience Experience using 3D CAD (NX preferred) to design densely packaged electronic devices: PCBs, flexes, antennas, and batteries, etc. Strong knowledge of various materials and scalable manufacturing processes BS in Mechanical Engineering, MS a plus Preferred Skills Experience building complex electronic products Ability to independently manage tasks and clearly communicate issues and needs Passion for working on highly creative, fast-paced, and collaborative teams alongside industrial designers, hardware engineers, and UX designers Comfortable designing slides and making presentations to the leadership team Familiarity with multiple product and project development disciplines, their dependencies, and how they interact Desire to work in a collaborative environment where honesty and accountability are paramount Salary: $132,000- $230,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As Manager of the Security Platform team, you'll build and lead a team of deeply security-aware software engineers who create the foundational tools and automation that enable Lambda to maintain security at scale without sacrificing velocity.Reporting to the Senior Manager of Security, you'll lead 3-4 engineers building platforms that serve three critical constituencies: Detection & Response needs operational tooling, Security Architecture needs automated enforcement of standards, and engineering teams need self-service capabilities that eliminate bottlenecks.You'll have direct access to deploy and run state-of-the-art LLMs on Lambda's infrastructure—a unique advantage enabling you to build intelligent security platforms that learn, adapt, and protect at a scale only possible when you own the AI infrastructure.Your success is measured in the problems other teams avoid because your platforms provide high-quality foundations.Your immediate focus will be on building your team, maturing our existing toolset, collecting requirements, and building a 6-12 month roadmap that aligns with the 2026 security strategic plan.We're looking for engineering managers who pair deep technical intuition with product sensibility and team-building excellence. If you're energized by multiplying security impact through excellent tooling, treating internal teams as customers, and building platforms where the secure path is the easy path, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You'll DoTeam Leadership & DevelopmentHire, develop, and retain a high-performing team of 3-4 deeply security-aware software engineers dedicated to building and operating production-grade security platforms.Foster a culture of technical excellence, collaboration, and continuous learning where engineers thrive through clear expectations, regular feedback, and opportunities for growth.Enable technical excellence through architectural and technical oversight, reviewing designs, assessing risk, and ensuring solutions are robust, maintainable, and scalable.Coach engineers in product thinking and platform ownership, helping them evolve from delivering features to managing services with measurable impact.Establish your team as the go-to platform builders, delivering solutions that meet any business need.Security Platform Product ManagementOwn the Security Platform roadmap, aligning it with Lambda's overall security and business objectives.Balance immediate security team needs against a strategic platform vision that yields compounding value.Proactively gather and meet customer needs that result in tools and platforms that are adopted voluntarily because they make secure development faster and easier.Operate as both technical and product leader, translating complex requirements into deliverable, incremental milestones that provide real impact early and often.Platform & Technical LeadershipEstablish Lambda's security data foundations: log pipelines, telemetry frameworks, and data services that empower decision-making across security functions.Build self-service security capabilities for engineering teams—authentication frameworks, secrets management systems, policy enforcement tooling, and security APIs that make the secure path the easy path.Direct the development of compliance automation that streamlines evidence collection, attestation, and reporting.Partner with the peer security teams to deliver operational tooling, incident response automation, and analysis systems that scale without toil.Ensure your team's platforms are reliable, monitored, and continuously improved based on real-world adoption and performance.Organizational & Strategic ContributionsPartner across the Security organization to deliver cohesive platform capabilities that enhance threat detection, prevention, and operational efficiency.Collaborate with engineering leadership to embed security into Lambda's development lifecycle, eliminating bottlenecks through self-service design and automation.Work effectively in a fast-moving startup environment where priorities shift, resources are constrained, and perfect solutions aren't possible. Make pragmatic trade-offs that deliver business value while building for the future.Communicate impact clearly to stakeholders who may not immediately see the connection between infrastructure work and business outcomes.Define measurable success criteria and maintain a 6–12 month roadmap that advances Lambda's security posture.What We Think a Candidate Needs to Demonstrate to Succeed5+ years of experience leading software engineering teams OR 5+ years of software engineering experience with 3+ years in engineering management.Proven ability to build, lead, and scale technical teams that deliver complex, high-impact platforms.Strong architectural intuition and product management sensibility; you can set vision, make tradeoffs, and deliver tools engineers love to use.Experience building security platforms, including understanding what makes them succeed or fail.Understanding of securing complex infrastructure environments, ideally including bare metal and cloud platforms, both as a consumer and a provider.Experience building automation-first systems that improve both velocity and security outcomes.Skilled communicator who can translate technical risk into business impact and build alignment across diverse stakeholders.Ability to thrive in a high-speed, high-ambiguity environment where you balance building for today while preparing for tomorrow's needs.Nice to HaveExperience building security platforms like SIEM/SOAR systems, security orchestration tools, compliance automation, or security data infrastructure.Deep familiarity with security platforms (e.g. Splunk/Elastic/Chronicle), secure-by-default infrastructure-as-code libraries (e.g. Terraform/CloudFormation), CI/CD systems, or secrets management (e.g. Vault, AWS Secrets Manager).Experience building data pipelines, analytics platforms, or data lakes for security use cases.Deep familiarity with SOC 2, ISO 27001, or similar compliance frameworks.Background in platform engineering, SRE, or building internal developer platforms.Experience enabling deep adoption of zero-trust architecture principles or building identity-centric security platforms.Excitement about leveraging Lambda's access to state-of-the-art LLMs for AI-powered security automation, orchestration, and analytics.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities. What You’ll DoTrack, log, and manage all quality issues arising in the data center during deployment and production environment Perform root cause analysis (RCA) for every failure (hardware, software, process)Analyze production system metrics and quality data to detect trends, anomalies, or weak pointsImprove turnaround time (TAT) for Return Merchandise Authorization (RMA) processesDesign, monitor, and drive corrective and preventive actions (CAPA)Implement and verify containment actions to keep systems operational until permanent fixes are applied.Collaborate with operations, hardware, engineering, supply chain, and vendors to resolve quality issuesCapture and upload failure analysis (FA) reports and related data into Quality Management Systems (QMS)Verify quality of spares (incoming and outgoing) to avoid repeat failures.Define and track quality KPIs / SLAs and report on quality performance to leadershipOversee MRB (Material Review Board) inventory, rework, disposal decisionsEnsure the quality management system (QMS) is up to date, with necessary training rolled outWork cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gatesUp to 30% travel may be required for this role.YouHave experience working with hardware / data center / infrastructure systemsAre strong at data analysis, statistics, and metrics (you can turn raw data into insight)Are skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3, etc.)Are comfortable managing cross-team communication, stakeholder expectations, and conflict resolutionAre detail-oriented, process-driven, and quality-mindedHave experience working with quality tools or QMS software (e.g. audit modules, ERP, defect tracking)Communicate clearly in English (both written and verbal)Nice to HaveExperience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industryExposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)Experience working on vendor quality, supply chain quality, or incoming inspectionsUnderstanding of firmware, embedded systems, reliability engineeringFamiliarity with scripting or automation (Python, SQL, etc.) to help with data processingExposure to cloud or hyperscaler infrastructure operationsExperience with “manufacturing-like” quality concepts applied to compute hardwareSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the teamAdaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using synthetic data, creating the foundational tools and products needed for models to self-critique and self-improve based on simple guidelines. Adaptive Engine enables companies to build and deploy the best LLMs for their business. Our founders previously worked together to create state-of-the-art open LLMs. We closed a $20M seed with Index & ICONIQ in early 2024 and are live with our first enterprise customers (e.g., AT&T).At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise customers effectively leverage these technologies—particularly through our Adaptive Engine product—to unlock maximum value. About the roleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will be the technical counterpart to our sales team, helping prospective customers understand how Adaptive Engine can solve their hardest problems. You will design and deliver high-impact demos, guide customers through proof of concepts, and develop technical proposals that highlight the differentiated value of our platform and reinforcement learning.Unlike many sales engineering roles, this position is deeply technical. You’ll have the opportunity to use Adaptive Engine hands-on—building demos, fine-tuning LLMs, and standing up pilots that bridge the gap from prospect to customer. You will also help shape the product roadmap by surfacing customer needs and insights.This is an in-person role based in our Toronto or New York offices.Your responsibilitiesPartner with sales to engage with prospects, uncovering business challenges and mapping them to Adaptive ML solutions;Design and deliver compelling technical demos, tailored to specific customer use cases;Lead and manage proof-of-concepts (POCs) and pilots, ensuring technical success and clear business outcomes;Build prototype pipelines and fine-tuned LLMs using Adaptive Engine to showcase production-ready solutions;Translate technical requirements into custom proposals, suggested architectures, and recommendations for customer deployments;Collaborate with our research and product teams to influence roadmap priorities based on customer feedback;Represent Adaptive ML at conferences, webinars, and industry events with technical authority.Your (ideal) backgroundThe background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.A degree in computer science, or demonstrated experience in software engineering / machine learning;4–8+ years in a pre-sales, solutions engineering, or technical consulting role, ideally in AI/ML or enterprise software;Hands-on experience with data science, machine learning, or NLP; ability to fine-tune or adapt models is a plus;Strong programming skills, with Python required and TypeScript preferred, from quick prototyping to proof-of-concept deployments;Exceptional communication skills—able to clearly explain technical concepts to both technical and non-technical audiences;Curiosity and enthusiasm for generative AI, with a passion for building demos and real-world applications;Empathy, humility, and a collaborative spirit when working with both customers and teammates.BenefitsComprehensive medical (health, dental, and vision) insurance;401(k) plan with 4% matching (or equivalent);Unlimited PTO — we strongly encourage at least 5 weeks each year;Mental health, wellness, and personal development stipends;Visa sponsorship if you wish to relocate to New York or Paris.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re hiring a Senior AI Researcher to lead foundational research at the intersection of multimodal modeling and conversational AI. You'll build multimodal models that model interactions between the user and the human like avatar to predict/control the audio/visual/language responses of the avatar. This isn’t a role for someone who just wants to follow the roadmap. You’ll help create it by steering our technical direction and shaping what the next generation of AI Human avatars looks like.Your Mission 🚀Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.Partner with the Applied ML team to bring research into real-world use cases.Mentor other researchers and drive excellence across the team.You’ll Bring:A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.Previous experience leading research efforts or mentoring teams.Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.Experience with large-scale model training and optimization for performance and real-time generation.Proven ability to translate research ideas into production-grade systems.Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).Strong PyTorch skills and comfort moving fluidly between research and engineering.Nice-to-HavesBroad familiarity with generative AI paradigms and foundation models.Comfort working across the full research–to–deployment stack.A builder’s mindset: eager to experiment, iterate, and ship.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup.Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients.Cutting-edge tech frontier: You'll be marketing the future of healthcare AI—translating breakthrough voice technology into stories that resonate with healthcare leaders and patients alike.In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture.What You'll Be Working OnBuild the marketing engine from zero: Establish foundational systems for demand generation, content production, and campaign management that scale with our growthCreate customer stories that close deals: Develop case studies, ROI calculators, and reference programs that prove Clarion's value to skeptical healthcare buyersOwn our digital presence: Write weekly LinkedIn posts, publish blog content, optimize SEO, and build our online authority in healthcare AILead conference strategy: Identify key events, manage booth presence, coordinate speaking opportunities, and turn conference leads into pipelineLaunch products that drive adoption: Write launch messaging, create sales materials, drive adoption campaigns, and ensure customers actually use new features after releaseEnable sales with competitive intelligence: Arm our team with battlecards, objection handling, and market insights that help them win against incumbents and startups alikeRequirements3-5 years of B2B marketing experience: Track record of generating pipeline and influencing revenue, ideally in healthcare tech or SaaSProven impact: Can point to specific campaigns that drove real pipeline and closed dealsSelf-sufficient: Comfortable as a one-person marketing team who strategizes Monday, ships by Wednesday, and measures by FridayHealthcare fluent: Understands how health systems buy technology and can translate AI into clear value for both clinical and business buyersMetrics focused: Tests constantly, measures everything, and makes decisions based on what worksIn-person collaboration: Excited to work from our NYC office dailyYou're a Good Fit IfYou're a creative generalist who can strategize, write, design, and ship—wearing multiple hats without losing qualityYou obsess over pipeline metrics, not vanity metrics—every campaign ties back to demos booked and deals influencedYou can make complex AI feel simple and essential to overwhelmed healthcare teams who've been burned by tech beforeYou thrive as a team of one, building the marketing engine from scratch while collaborating closely with sales and productYou have taste—you know what good looks like and won't ship anything that doesn't meet that barYou're ready to test bold ideas, from LinkedIn thought leadership to unexpected guerrilla campaigns that break through the healthcare tech noiseWhat We OfferDirect mentorship: Work closely with our founding team and experienced leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (20 min) [Virtual]: Discussion about your product marketing experience and interest in healthcare transformationMarketing Deep Dive (45 min) [Virtual]: We'll explore your approach to positioning, messaging, and how you've driven revenue through marketingMarketing Exercise (Take-home): Create a positioning document and sales one-pager for a specific healthcare segment, demonstrating your ability to craft compelling narrativesTeam Day (Half-day) [In-Person]: Visit our New York office to present your marketing strategy, collaborate on real challenges, and meet with founders and potential cross-functional partnersIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The xAI datacenter control systems team is looking for a highly-motivated Controls Engineer to support the operation, design, and optimization of our advanced data center infrastructure. This person will play a key role in maintaining the stability and efficiency of the systems that power xAI's groundbreaking AI research. The Controls Engineer will collaborate with cross-functional teams to monitor and improve the performance of the data center throughout its lifecycle. This individual will work closely with Operations and Maintenance to ensure the systems are running smoothly, from day-to-day management to long-term upgrades and expansions. Responsibilities Executing the implementation and modification of Building Management System (BMS), Electrical Power Management System (EPMS), and any other SCADA systems critical for the operation of current and future data centers Overseeing the operation of critical systems such as chillers, pumps, and power distribution, using PLCs and other industrial control technologies Preparing specifications for Human-machine Interface (HMI) including graphics standard for interpretation by Grok Implementing and maintaining automated controls for fire safety and emergency shutdown procedures (ESOP) Developing a corporate-level reporting dashboard to monitor the operational trends such as power usage effectiveness (PUE) and performance/cost, and dynamically adjust the infrastructure set points for optimal performance Coordinating with utility providers to automate demand and operational responses to upstream grid events Required Qualifications Bachelor's Degree in an Engineering discipline: Controls and Computer Control Systems, Computer Science, Mechatronic Engineering, Automation Engineering, etc., or equivalent experience 5+ years of experience as a hands-on Controls Engineer working with industrial control systems Ignition SCADA Programming Experience Siemens TIA Portal PLC Programming Experience Physical Requirements: Ability to work for extended periods of time standing, when needed Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Comfortable working in an environment requiring exposure to noise Ability to lift or carry 10-15lbs Ability to work evenings and weekends as needed Position is subject to pre-employment drug and random drug and alcohol testing Preferred Qualifications Advanced proficiency in programming industrial equipment in all IEC 61131-3 languages with a focus on structured text and ladder logic Experience with industrial control hardware from leading manufacturers (e.g. Siemens, SEL, Rockwell) Familiarity with Human Machine Interface (HMI / GUI) development using platforms such as Ignition, SEL, etc Methodical troubleshooting approach Strong documentation and communication skill set Technical project management mindset Team-player, takes initiative, and highly motivated xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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EPD Business Operations Lead, IPS Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Building custom AI applications that will impact millions of citizens and government employees Generating high-quality training data for custom LLMs Upskilling and AI advisory services to spread the impact of AI As EPD Business Operations Lead in Doha, you will be the operational cornerstone for a key strategic region, designing, building, and running the critical systems that enable the team's hyper-growth and delivery success. You will help translate vision into execution, streamline how our technical team builds and ships products, and ensure clarity, alignment and operational excellence across a growing global team. This is a role for someone who thrives at the intersection of product, people, and process - someone who can take ownership like a founder, operate like a systems designer, and execute like a product manager. What you'll do Be the connective tissue across the Engineering, Product and Design teams - driving alignment, clarity, and prioritization across all initiatives and projects Own knowledge management and internal tooling, ensuring the team operates efficiently at scale. Deep expertise in Notion is critical - you’ll design, manage, and evolve the team’s central knowledge base, project trackers, decision logs etc Build and maintain systems for project tracking, staffing and performance reporting Partner with Finance and Legal to streamline procurement, budgeting, and contract processes to positively impact delivery timelines. You’ll also support the team on revenue recognition tracking and spend monitoring for projects.  Design and operationalize new processes that make product development and data delivery faster, higher quality and more predictable Serve as a force multiplier for technical leadership - helping anticipate needs, prepare materials and communicate priorities internally and externally Lead internal enablement and upskilling initiatives, ensuring the team continuously improves its product development muscle. Ideally, you'd have 5+ years of experience in product, strategy or business operations roles, preferably within a high-growth technology company or top-tier consulting/finance firm. Proven ability to design and scale systems that help technical teams operate with clarity and velocity. Exceptional analytical skills with a penchant for digging deep into the data, thinking from first principles, and iterating quickly to deliver results. Strong familiarity with Notion, plus adjacent productivity tools (e.g., Asana, Airtable, Coda, Slack integrations). Experience working in or with the Middle East, with an understanding of the regional business and regulatory environment, is a plus. Fluency in English is required; proficiency in Arabic is a strong advantage. 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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.

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Why Ivo?Contract negotiation is the most time-consuming, costly, and difficult component of the contract lifecycle—and it hasn’t gotten much easier since the days of fax machines. Large language models have unlocked the ability to solve many contract negotiation problems at scale. Our product is best-in-market (with an ~80% trial win rate) and rapidly embedding itself into the lives of its users. Overview:We are looking for an exceptional Design Engineer to join our team in San Francisco. You will be the first Design Engineer at Ivo and have a unique opportunity to play a crucial role in shaping Ivo’s product, user experience, and overall design strategy. You’ll work closely with the leadership and engineering to create intuitive, user-centric designs that meet the needs of our customers. Ideally, you should be comfortable with both product design and front end engineering.  What You’ll DoHave significant input into the entire design and creative processDeeply understand the product to create industry leading user experiences  Build out our front end. Champion a reusable component systemCollaborate with our founders to define product strategy and roadmap priorities through a design lensEnsure we keep our quality bar high whilst shipping fast Your Qualifications:You have 3+ years of experience in product design/front end developmentYou have proficiency in Figma and React/Next.js or other modern toolingYou have a customer-first mindset with a passion for solving real-world problemsYou move fast and have experience in high-velocity teams. Ivo might be a good fit if you:Love creating the perfect product experience, but you love having impact more: Our #1 goal is building the best possible product, which means making pragmatic choices and looking for 80/20 solutions.You would describe yourself as being relentlessly resourcefulHave a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow. Have experience working in a startup environment - this is preferred but not required.Are excited by AI and the adventure of building a company!

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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $500k • Offers EquityAbout UsAt Giga, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we’re on track to power the next trillion voice interactions. Why Join Us?Momentum: Be a part of a team that has seen validation from both customers and investors alikeOwnership: Be a key contributor to cutting-edge ML projects transforming industries and influence the company’s technical directionGrowth: Develop yourself alongside top-tier engineers and Founders About the RoleWe’re seeking a seasoned Staff Backend Engineer with hands-on experience in building processes & infrastructure. You should take pride in your work and write high-quality, scalable code. If you thrive in a fast-paced, high-ownership environment, we want to hear from you. What You’ll Do:Ship and Own Products: Rapidly contribute to our products, eventually owning your own product or product lines.Design Scalable Solutions: Crafting systems that remain fast, reliable, and secure as we grow while owning key backend & infrastructure projects.Translate Vision into Launches: Partner with founders and cross-functional teams to turn big ideas into clear plans, drive sprints, and land high-impact releases.Technical Leadership: Drive technical decisions and architecture design, shaping the foundation of our solutions.Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups — former founders are especially valuedSeasoned: 8+ years of hands-on engineering experience with roles in leadershipGritty: Capable of working long productive hoursStrong Background: Degree from a top-tier engineering program Perks & BenefitsExtremely competitive total compensationEquinox MembershipWellness allowanceFull health, dental, and vision coverageOn-demand snacks, meals, and coffee to keep you fueled Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you.Your Mission 🚀Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.Collaborate with the Applied ML team to bring your work to life in production systems.Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.Deep understanding of sequence modeling in video/audio/language domains.Familiarity with large model training, especially LLMs or VLMs.Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.Excellent programming skills, especially in PyTorch.Nice-to-HavesPublications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM.Broader understanding of generative AI and multimodal architectures.Familiarity with software engineering best practices.Curiosity and a flexible mindset — you like building and experimenting.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.