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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams.Responsibilities: Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms.Set technical direction and project priorities, aligning them with broader organizational goals.Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams.Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization.Foster a culture of innovation, technical rigor, and collaboration across the team.Develop and maintain project roadmaps, milestones, and technical documentation.Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration.Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability.Lead recruitment, hiring, and performance management to grow a world-class engineering team.Required Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field.10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities.Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies.Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization.Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares).Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts.Strong track record of technical execution combined with leadership and team-building skills.Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions.Experience in technology transfer and delivering research innovations into production systems.Preferred Qualifications:Demonstrated success deploying SLAM/VIO estimators in real-world applications.Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry.Exposure to integrating deep learning with classical state estimation approaches.Strong record of published research or contributions to the robotics and computer vision community.Experience scaling and leading multi-disciplinary engineering teams

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. What the job involvesAs an Engineering Manager, you will lead the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company. ResponsibilitiesOversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner. Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Champion the development and training of deep learning models for complex urban scene perception and real-time analysis. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system. Foster automation in the improvement cycles of deep learning models used within the perception system.Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making.  QualificationsPh.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.2+ years leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices. Proven ability to deploy these systems with:Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus).Computer Vision Libraries: OpenCV.Deployment Optimization Tools: TensorRT.Strong Python programming and software design with experience in Pandas.Experience deploying DL models to run on real-world, resource-constrained, systems with a pragmatic approach towards problem-solving.Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable.Proven industry track record with experience in:Automated data annotation for computer vision.Training multi-task and semi-supervised deep learning models for video data.Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? This AI Business Consultant position within the NICE – AI Center of Excellence Organization offers an exciting opportunity to focus on delivery excellence and drive accelerated ROI from our portfolio of AI solutions. The ideal candidate will bring a strong mix of solution consulting and operations experience, positioning them to lead customers through digital transformations. As a seasoned consultant in a technology company like NICE, you must possess a unique blend of business acumen, subject matter expertise, and technical savvy to deliver significant business impact via our software solutions. In other words, someone who can gain credibility via both their words and hands-on-keys actions. This role involves working with multiple broad groups within NICE and requires proven ability to influence cross-functional teams, both with and without formal authority, within a matrixed organization. How will you make an impact?    Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions. Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements. Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential. Collaborate with product development teams to provide feedback and suggest improvements based on client experience. Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement. Build long-term relationships with customers, becoming a trusted advisor, driving adoption and consumption growth. Organize and guide application and data consultants through program leadership, acting as the adoption and consulting engagement quarterback. Manage consulting and adoption programs with continuous alignment with the entire product implementation program. Establish and monitor progress toward business success criteria for the overall delivery program and in turn, each product/business unit. Map business cases into action items and solution designs. Align launch strategies with use cases and value priorities. Secure buy-in from different stakeholders (internal and external). Provide input into technical project plans, ensuring business requirements and best practices are fully captured. Develop and deliver presentations to demonstrate the value and capabilities of our software solutions. Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights. Have you got what it takes? Minimum of 5 years of consulting or customer successes experience in self-service or AI software domains. Degree in Business, Information Technology, or a related field preferred. Experience with contact center enterprise software, with deep domain experience in digital/unassisted self-service channels (e.g., Google Dialog Flow). Knowledge management expertise. Experience with generative AI in the customer service domain is a plus. IVR/Routing/ACD experience preferred. You will have an advantage if you also have: Experience in business process improvement and customer success. Proven ability to independently handle senior executive audiences and stakeholders, provide thought leadership, and gain strategic partnerships. Led project teams and demonstrated operational performance improvements with significant benefits. Multi-industry experience preferred. Excellent verbal, written communication, and presentation skills are a must. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About the role Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record and edit videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers. As a Product Manager on the Editor team, you’ll be shaping the future of what creative collaboration looks like with AI, from recording to final polish. You’ll work alongside a small, flat, highly collaborative team of experienced PMs, engineers, designers, AI researchers, and marketers. This is an opportunity to get hands-on experience with cutting-edge AI technology in a product users love and grow fast in your PM craft. What you’ll do Develop a deep understanding of our customers, their creative goals, and the evolving video/AI landscape — and use those insights to guide the roadmap. Own and shape the recording experience so that anyone can look and sound great without special gear or expertise. Bring Descript’s taste for great video into the recording and editing experience, shaping interactions and defaults so creators naturally produce work that feels polished and professional. Partner with AI research, engineering, design, and other teams to translate cutting-edge technology into reliable, delightful experiences. Own and drive the feature roadmap for your team from idea generation through to execution and analysis. You’ll bring clarity and focus to your team, and help them deliver value to users reliably and effectively. Who you are You have seen (and shipped) some things: You have 3 or more years of product management experience, ideally with a product of technical complexity that incorporates generative AI models. You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems. You are a fog sculptor: There are aspects to our product and its design that do not have real competitors yet. The product intuition and design conventions have not been decided. We need product managers who are attracted to ambiguous problems, know how to ask smart questions, and translate ideas into action. You care about craft: Our product is not a hype machine that runs on empty promises and vaporware. We think our product will be successful because people love to use it. That means sweating the details. But without the sweat, because you aren’t stressed out. You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time. The base salary range for this role is $175,000 - $265,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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About Us: Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that.At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration.Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy.Key Responsibilities:Collaborate across various departments to enhance our AI-driven design and manufacturing processes.Contribute to different stages of production, from software development to operational management and factory floor operations.Engage in business development activities, including strategy formulation and relationship management.Innovate in areas of robotics and manufacturing technology to improve efficiency and quality.Qualifications:Relevant experience or a strong interest in fields such as engineering, manufacturing, business development, or robotics.Excellent problem-solving skills and a willingness to engage in a variety of challenges.Strong communication and teamwork abilities, capable of working in an interdisciplinary environment.Eagerness to learn and adapt in a rapidly evolving startup landscape.What We Offer:The opportunity to be part of an exciting journey in transforming the manufacturing industry.A collaborative and challenging work environment where innovation is at the forefront.Opportunities for personal and professional development.Competitive compensation and benefits, commensurate with experience and role.Apply Now: Join us in our mission to redefine manufacturing through AI. We are excited to welcome individuals who share our passion for innovation and excellence. Submit your application today and be a part of our transformative journey.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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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 Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You’ll be responsible for securing and maintaining the reliability of X Money’s infrastructure. You’ll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. Your role will include: Responsibilities Building and securing mission-critical applications within AWS. Ensuring proper identity and role management within AWS. Implementing and maintaining KMS for data management in RDS and DynamoDB. Strengthening Kubernetes and container security. Writing and maintaining infrastructure code using Python and Terraform. Integrating and maintaining code scanning platforms. Taking ownership of cybersecurity projects, identifying problems, and implementing solutions. Conducting critical analysis and applying strong problem-solving skills. Minimum qualifications: Proficiency in Python and Terraform. Hands-on experience with code scanning platforms. A proactive, problem-solving mindset with a strong sense of ownership. Excellent critical thinking and analytical skills. AWS experience, particularly with identity management and security. Expertise in Kubernetes and container security & experience with self-managed Kubernetes or EKS on AWS. Be based in the SF Bay Area, or willing to relocate here. Annual Salary Range $180,000 - $360,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.As a Lead Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll guide the development and optimization of cutting-edge AI models for our custom AI devices. You’ll take the lead on shaping technical direction and ensuring the team delivers impactful results. If you enjoy blending hands-on ML engineering with mentoring and strategic decision-making, you’ll thrive here. This role is remote, based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Confident with Python programming and hands-on experience with PyTorch for developing deep learning models. Possess a deep understanding of ML model architectures, with the ability to optimize both individual components and overall model performance. Skilled at mentoring engineers, providing technical guidance, and fostering a collaborative team culture. Comfortable leading cross-functional discussions, setting priorities, and aligning efforts toward impactful results.   What We Need Lead the bring-up of state-of-the-art ML models on new hardware platforms. Direct debugging and performance tuning efforts to improve accuracy, efficiency, and robustness. Oversee model optimization techniques, like quantization, flash attention, kernel fusing, and multi-device parallelization. Champion a curiosity-driven approach by staying ahead of ML research trends and guiding the team in applying relevant advances to solve real-world engineering challenges.   What You Will Learn How to lead the deployment of real ML models at scale on a custom AI accelerator. Methods to coordinate model optimization from application to silicon level. Approaches for bridging research innovations with production-ready engineering. How to influence compiler, kernel, and hardware roadmaps through model performance insights.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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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 As the Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Help continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline. Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non-deterministic testing approaches that uncover hard-to-find bugs. Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices. Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization. Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing. Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 2+ years of experience in automation engineering. Hands-on experience working with Linux and Windows. Strong proficiency in developing tools for test automation. Deep understanding of observability and telemetry. Good understanding of complete software development life cycle. Proficiency in Python or other object-oriented programming languages. Preferred Skills You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems. Expertise with CI/CD pipelines is critical, with hands-on experience in platforms like Jenkins, GitHub Actions, or GitLab CI. You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality. You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behavior and performance. Experience with consumer electronics a plus Familiarity with ML Usage. Some familiarity with how to leverage machine learning models in a product environment is a plus. Strong Interpersonal and Leadership Skills. You possess excellent communication skills and a proven ability to manage cross-functional relationships, driving alignment and collaboration with system software, automation, and test teams. Salary Range: $100,000 - $140,000Compensation & 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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Together AI is seeking a Lead DX Engineer – documentation to be the founding member of our docs team and focus on owning and improving our documentation. Docs are an incredibly important part of the success of our platform, so this is an important role that will be reporting to our Director of Developer Experience. This role is for a senior engineer who is obsessed about developer experience, enjoys writing and educating developers, and wants to lead building world class docs, including eventually building out their own team. We’re looking for someone with expertise to lead comprehensive documentation efforts and drive adoption among the global developer community. Required Qualifications 5+ years of experience in technical writing, engineering, and/or developer education Experience building AI applications and working with LLMs Proven track record of creating content (docs/guides/cookbooks) about developer tools Excellent technical communication skills with ability to explain complex concepts to various developer audiences Proficiency in writing code examples with Python and TypeScript Quickly adapt to new domains, learning and articulating complex concepts into clear, comprehensive content Understanding of LLM APIs including features like structured outputs & function calling a plus Key Responsibilities Lead the comprehensive documentation strategy across our products Write comprehensive guides on how to do inference, finetuning, and training on our platform Collab with the engineering team to document & showcase new features as they come out, with Python and TypeScript examples using our SDKs Create use case specific cookbooks and guides that address common customer use cases that use our API About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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Req ID CSQ426R267 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers 1+ years of experience with Databricks  Programming experience in Python, SQL, or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$129,100—$180,700 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Us: Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us  At Observe.AI, DevOps isn’t just about maintaining infrastructure—it’s about building scalable, reliable, and secure systems that empower innovation across the organization. As a DevOps Engineer, you’ll help design and automate the foundation that powers our AI/ML platforms, ensuring seamless operations across AWS accounts, Kubernetes clusters, and diverse environments while driving efficiency and cost optimization. You’ll work on automation that goes beyond CI/CD, tackling challenges in scalability, reliability, and security, while collaborating closely with engineering, data, and product teams to create resilient systems. If you’re looking for an opportunity where your expertise shapes the future of our infrastructure, your work enables faster innovation, and your growth is fueled by solving meaningful challenges alongside a talented team, this is the place for you. What you’ll be doing  Help in the definition of best practices in production monitoring and alerting and able to own application of the same Assist and troubleshoot  in the setup and maintenance of various environments (Production, testing, etc) Automate, optimize and drive efficiency of effort, code, and process Be able to assist with product stability and closely collaborate with other tech teams to suggest improvements for the same Assist in the implementation of security best practices, especially in public cloud infrastructure and in audit/compliance requirements. Own integration of existing systems using appropriate Kubernetes/ docker / Terraform scripts to automate and improve the efficiency of the deployment  Develop CI/CD pipelines for various services Coordinate and monitor releases of the same What you’ll bring to the role Expertise in scripting and programming skills (e.g., Python, Shell, Go). Good problem-solving and hands-on with the programming language or scripting for infra-automation CI/CD experience with Jenkins and cloud deployment technologies like Code Deploy (AWS), and/or GitLab. Understanding of enterprise software development and infrastructure processes and lifecycle; ability to adjust and apply this knowledge in a dynamic environment using Agile or similar methodologies. Hands-on experience with Infrastructure as Code, using Terraform, CloudFormation, or other tools. Hands-on experience with microservices and distributed applications, such as orchestration and containers, Kubernetes, and/or serverless technology. Understanding of different kinds of infra components such as DB/pub-sub services/cache etc. Bachelors or Masters Degree in Engineering Perks & Benefits  Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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

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Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the sales function, driving new customer acquisition, and establishing RYZ Labs as the go-to partner for RLHF-driven solutions in the U.S. This role requires a strong mix of enterprise sales expertise, strategic thinking, and the ability to build relationships across industries where RLHF can drive transformative value. Key Responsibilities - Build and lead the sales organization for the RLHF vertical, including hiring, training, and performance management.- Define and execute the GTM strategy for enterprise and mid-market clients in the U.S.- Identify and prioritize target accounts across industries (e.g., tech, finance, healthcare, enterprise SaaS).- Partner with marketing and product teams to refine value propositions and market positioning.- Drive end-to-end enterprise sales cycles, from prospecting to close.- Own revenue targets and consistently deliver against growth objectives.- Represent RYZ Labs at events, conferences, and with media/analyst communities.- Act as a trusted advisor to C-level stakeholders on RLHF adoption and strategy.- Work closely with engineering, product, and operations teams to ensure delivery alignment.- Provide market feedback to inform R&D and solution roadmaps. Qualifications - 8+ years of experience in enterprise sales or business development, including leadership roles.- Proven track record of closing $1M+ enterprise deals and scaling sales organizations.- Deep understanding of AI/ML markets; familiarity with RLHF and its applications is strongly preferred.- Strong network in San Francisco and U.S. tech ecosystem.- Entrepreneurial mindset, with ability to thrive in a fast-paced, evolving environment.- Exceptional communication, negotiation, and leadership skills. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. You will join a team that thrives on experimentation, rapid learning, and applied research, where every project is a chance to design, test, and bring new ideas into production, publish in top conferences, and share insights with the community via technical blogs. From developing agentic AI and LLM powered solutions to creating evaluation frameworks and deploying end to end pipelines, your work will have direct customer impact. We value curiosity, collaboration, and the courage to push boundaries, in areas of large language models, query understanding, intent classification, information retrieval, dialog systems, natural language generation, and resource constrained text systems. If you are excited to turn breakthroughs in Mult-Agent systems, LLMs, NLP, and ML into practical outcomes, and to work side by side with product and engineering teams to make ideas real, this is where your research mindset, technical expertise, and creativity will thrive.   What you’ll be doing: Experiment and Iterate on ML Algorithms: Design and implement use-case–specific machine learning algorithms - spanning Agentic AI, LLMs, and traditional ML models - while optimizing models and pipelines, and deploying end-to-end solutions to address real business challenges. Evaluation Frameworks: Develop robust evaluation frameworks, incorporating diverse datasets, appropriate metrics, and human-judge alignment - to rigorously assess language model performance and ensure standards of accuracy, efficiency, and reliability. Paper and Blog Submissions: Draft comprehensive scientific reports detailing approaches and results for submission to top conferences (e.g., EMNLP, NAACL, ACL, Interspeech), while also authoring blog posts on company blog space to broaden impact and share insights with the wider community. Cross-Functional Collaboration, Transform Trends into Practical Outcomes: Partner with product and engineering teams to align on model requirements and integrate feedback, while applying hands-on experimentation to turn emerging trends into practical, high-impact solutions through both independent work and collaborative innovation. What you’ll bring to the role: Experience: 3+ years of relevant experience in NLP/ML research or applied roles. Experimental Mindset and Applied Research: You thrive on exploration - designing, running, and iterating on experiments to generate insights and optimize outcomes. You embrace new approaches, fail fast, learn quickly from results, and push boundaries. LLM, SLM, NLP & ML Expertise: Strong foundation in Natural Language Processing and Machine Learning, with direct experience developing, fine-tuning, evaluating, optimizing and deploying Small/Large Language Models and other ML models like classifiers, embedding models. Bias to Action and Outcomes: You have deep expertise in a variety of research methods, but you don't hold those methods precious. You can flexibly apply necessary tools in an unconstrained way to drive impact for the business. Technical Proficiency: Advanced Python programming skills, with expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face, along with frameworks of multi-agent systems and tool and function calling. Trend Awareness: Actively stay up to date with the latest breakthroughs in AgenticAI, Generative AI, models, methods, and tools, and apply them thoughtfully in your work. Collaborative Problem Solver: Comfortable working cross-functionally, sharing insights, and valuing diverse perspectives to drive collective problem-solving. Analytical & Critical Thinker: Strong ability to interpret model outputs, identify the categories of errors and LLM limitations, and implement solutions for improved performance. Perks & Benefits  Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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RYZ Labs is seeking a Head of Enterprise AI Sales to lead our sales efforts into medium and large enterprises across the U.S. This is a first-in-role hire: you will be the face of RYZ Labs' enterprise AI solutions, responsible for driving new business, closing complex deals, and laying the foundation for a scalable sales organization. You'll sell into non-tech sectors — including logistics, manufacturing, healthcare, and retail — where companies are eager to implement AI but need a partner to help them navigate adoption safely and effectively. This role is ideal for a proven enterprise hunter with the credibility to sell at the C-level, and the entrepreneurial drive to build from scratch. Key Responsibilities - Own the full sales cycle for medium-to-large enterprise accounts.- Drive pipeline creation and execute outbound strategies targeting priority sectors.- Navigate complex, multi-stakeholder organizations to close six- and seven-figure deals.- Lead discovery conversations to identify business challenges and AI opportunities.- Collaborate with RYZ Labs' technical teams to scope, position, and deliver tailored proposals.- Act as a thought leader and trusted advisor to C-level executives on AI adoption.- Represent RYZ Labs at events, conferences, and industry forums. Qualifications - 8+ years of enterprise sales experience, with a track record of closing $250k–$1M+ consultative deals.- Strong background in selling services/solutions into non-tech industries (e.g., healthcare, logistics, manufacturing, retail).- Ability to lead complex, multi-stakeholder sales cycles.- Comfort in ambiguity: thrives in early-stage environments and can build playbooks from scratch.- Entrepreneurial mindset with both hunter drive and executive presence.- U.S.-based, with flexibility for travel to client meetings and industry events. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here.  The Opportunity We’re seeking an experienced and passionate software engineer to collaborate with founders closely to drive our most high potential innovation - Interactive Avatar - the visual interface of realtime AI solutions powered by the most cutting-edge AI from HeyGen that is revolutionizing various use cases including online education, learning and development, customer support, sales and so on.  As one of the founding engineers, you will start from going to customers and partners with founders and solving technical challenges with product engineering, infra and research teams, to planning and delivering a world class product experience and set the standard for the next generation of softwares. Key Responsibilities Help shape the architecture and infrastructure to support scalability, low latency, and high availability as the product grows. Take full ownership of core backend systems and vendor integrations, driving performance and reliability improvements. Collaborate with GTM, infra, and research teams to build real-time, interactive AI experiences that push the boundaries of what’s possible. Rapidly gain proficiency in the full tech stack, from backend systems to real-time streaming and frontend surfaces. Translate customer needs into technical solutions that move the business forward. Triage and resolve complex technical issues across the stack, ensuring stability and a seamless user experience. Proactively identify opportunities to improve our technology and development processes, contributing ideas and solutions. Grow cultural and technical influence by demonstrating strong execution, technical excellence, and alignment with the company culture. Qualifications 5+ years of hands-on backend engineering experience, with a proven track record of delivering production systems at scale. Deep expertise in backend development using languages such as Node.js, Python, or Go, and strong experience building on cloud platforms (AWS, Azure, or similar). Solid understanding of real-time systems, including WebRTC, streaming architectures, and low-latency APIs. Experience deploying AI-powered models into production environments, especially in areas such as speech, vision, or conversational AI. Exceptional collaboration and communication skills, comfortable working across diverse teams including frontend, infrastructure, research, sales, and customer success. A self-starter with a growth mindset—motivated to take ownership, solve hard problems, and grow into a leadership role over time. Bonus Proven experience building and scaling real-time interactive systems such as voice/video chat, live customer support platforms, or virtual agents. Prior experience with avatars, virtual assistants, or generative media technologies. Familiarity with large language models (LLMs) like OpenAI, Claude, or Gemini, and prompt orchestration pipelines. Startup founder or early-stage builder mindset—hungry to win, scrappy, and deeply motivated by urgency and impact. Why Join Us? Be part of one of the fastest-growing companies at the intersection of AI and media. Work with a team of world-class researchers, engineers, and creatives. Work with founders directly for massive impact Competitive compensation, equity, and benefits. Base Salary Range $200,000 – 235,000 annually Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. 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 roleThe Product Manager, Cloud Storage Platform is a senior technical leader responsible for setting the vision, strategy, and architecture for Lambda’s storage infrastructure across cloud and hybrid environments. You will own the complete lifecycle of our storage platform — from ultra–high-performance block and file systems to petabyte- and exabyte-scale object storage — ensuring it delivers unmatched performance, durability, scalability, and cost efficiency for the most demanding AI workloads in the world.This role demands deep expertise across both software-defined and cloud-native storage architectures, along with the ability to unify them into a seamless, high-performance platform. You will define how storage is delivered, managed, and scaled globally, influencing multi-billion-dollar infrastructure investments and guiding world-class engineering teams to deliver storage capabilities that set a new industry benchmark for AI infrastructure.Key ResponsibilitiesDefine and execute the long-term vision and strategic roadmap for Lambda’s storage platform across cloud and hybrid environments, ensuring it delivers uncompromising performance, scalability, durability, and cost efficiency for the world’s largest AI workloads.Lead the evaluation, selection, and seamless integration of advanced storage technologies — spanning block, file, and object architectures — using rigorous benchmarking to optimize IOPS, throughput, latency, and total cost of ownership.Translate complex infrastructure capabilities into clear product requirements, precise service-level objectives (SLOs), and measurable performance benchmarks that align with demanding AI and HPC use cases.Architect and implement intelligent data tiering strategies (hot, warm, cold) to maximize performance where it matters and drive significant cost savings at scale.Collaborate with infrastructure and operations leaders to forecast multi-year capacity growth, design for petabyte-to-exabyte scalability, and ensure consistent performance under peak workloads.Define and enforce lifecycle management, replication, and disaster recovery policies that guarantee data integrity, compliance, and near-zero downtime.Own the observability and optimization roadmap for the storage platform, deploying advanced telemetry, monitoring, and analytics to proactively detect and remediate bottlenecks before they impact customers.Partner closely with engineering to drive continuous performance tuning, eliminate systemic inefficiencies, and ensure the platform remains ahead of industry benchmarks.Minimum QualificationsBachelor’s degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a closely related technical field.Seven (7) years of progressive, post-baccalaureate experience in product management, including at least four (4) years focused specifically on cloud-scale storage or infrastructure platforms.Proven expertise in the following areas, demonstrated within the required seven (7) years of experience:Designing and delivering large-scale storage platforms, including block, file, and object architectures, for performance-critical workloads.Evaluating and selecting storage technologies through benchmarking of throughput, IOPS, latency, durability, and total cost of ownership.Architecting and managing storage solutions for petabyte- to exabyte-scale datasets, including intelligent tiering strategies.Defining lifecycle management, replication, and disaster recovery strategies to ensure data durability and high availability.Integrating storage services across hybrid and multi-cloud environments to deliver a unified, high-performance platform.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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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team At Anthropic, the Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What you'll do: We are hiring an Engineering Manager to lead our Cloud Security team, whose remit is to build and maintain secure foundations for our AI systems. This role focuses on cloud infrastructure and platform services, with particular emphasis on data protection, intuitive access controls, and enabling secure-by-default patterns across our multi-cloud environments. In this role you will: Lead a security engineering team while maintaining deep technical involvement in cloud security architecture across all cloud environments Design and implement comprehensive security controls for model weights, customer data, and training datasets Build secure-by-default infrastructure to create self-service patterns that prevent misconfigurations while enabling engineering velocity Establish continuous attack surface monitoring and automated remediation systems using cloud security posture management tools, custom detection capabilities, and infrastructure-as-code security scanning Partner with product, research, and infrastructure teams to embed security requirements into system design and development workflows from inception through deployment Identify and assess systematic risks across the organization, translating complex security requirements into prioritized roadmaps and actionable engineering work Develop security and reliability metrics and observability systems that measure risk posture, demonstrate security improvements, and inform data-driven security investments Coach and mentor engineers while building a team culture that balances security rigor with development velocity and innovation Who You Are: 4+ years managing security engineering teams with proven track record of team productivity 5+ years hands-on infrastructure security and software engineering experience Deep expertise in securing complex cloud environments, threat modeling, and risk assessment Strong cross-functional collaboration skills, balancing security requirements with business objectives Clear and persuasive communicator in both writing and verbal settings Low ego, high empathy leader who attracts talent and builds diverse, inclusive teams Passionate about developing engineers' careers in a supportive yet challenging environment Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About the companyAt Atlas, we're building the AI payments solution for global teams. We aim to simplify how finance and people operations teams manage everything beyond payroll for their team members. That includes: reimbursements, bonuses, travel expenses, software purchases, healthcare plans and a lot more. Our goal is to provide global employees with an exceptional experience working remotely or from an office.From a technical perspective, this means integrating with distributed systems worldwide (both old and new, with and without APIs), managing globally distributed operations and users, and prioritizing the scalability of our systems. To move fast and build an incredible product, we’re looking for engineers who value technical excellence, make user-centric decisions, and enjoy working in a highly autonomous environment.What We NeedWe’re looking for a Technical Project Manager with 5-7 years of experience who is detail-oriented and organized, with strong soft skills. Experience in fintech is a plus. You should be adept at balancing technical insights with customer and user-centric perspectives.We're seeking someone who not only brings strong technical expertise but also keeps the end-user in mind and takes pride in creating a product that impacts many people. Startup experience is a big plus, especially if you've been part of a team navigating rapid growth. We're after curious, technically-driven individuals who are eager to propose improvements and take full ownership of our systems.What You’ll DoCollaborate with engineering, design, and marketing to deliver beautiful and functional products.Define product vision, strategy, and roadmap aligned with company goals.Gather and prioritize product and customer requirements.Translate product strategy into detailed requirements and prototypes.Work closely with engineering teams to deliver with quick time-to-market and optimal resources.Review PRs and ensure alignment with product vision and company goals.Use AI to move from requirements to prototype faster.What We’re Looking ForA top-tier technical PM who's great at sharing the roadmap with the team, moving fast, making quick decisions, keeping everyone on track, and shipping high-quality products.Someone who takes full ownership of their work.Real interest in the product you're building, its users, and how it affects the business.A passion for building great products.When You Shouldn’t ApplyYou're not technical.You care more about team processes than what customers actually experience.You've never worked on a product team.You rarely talked to customers in your past jobs.Your past work was mostly taking a roadmap someone else made and just executing it, rather than creating the roadmap yourself.You don't use AI tools much and aren't excited about AI.Interview ProcessSilver Screening InterviewSilver Technical InterviewClient CEO ScreeningClient Technical InterviewClient Behavioral Interview