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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About 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 Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. About the Role: Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain adapted and memory augmented LLMs, reinforcement learning, building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them. You will:  Build frameworks for LLM-powered agents to use tools and knowledge sources effectively Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production Drive technical strategy and mentor other engineers, raising the technical bar across the team Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents About you: 2+ years as a Staff Engineer, Principal Engineer, or equivalent 5+ years of industry experience in AI or Machine Learning Engineering Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning Proven ability to design, build, and ship production-ready systems Proficiency in your ML framework of choice Strong coding skills (Python, Go, Java, C++, ...) Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Location:  This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $240,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

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Vatic Labs is a quantitative trading firm in New York.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.   As an Quantitative Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities. We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. If you possess the following, we would love to explore what is available for you with our team: Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields Demonstrable experience coding in C++ or Python in a Linux environment Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression. In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods Have innate curiosity for understanding why and how certain techniques work Have deep knowledge of time-series analysis Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc. Have an interest and enthusiasm for learning about financial markets (previous experience not required) While we are serious about our work at Vatic, we also promote a fun environment! You can expect: Ping pong and poker games Fun team outings Unlimited office snacks Free breakfast, lunch, and dinner The base salary range for this role is between $3000 and $4500 weekly. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Test Bench Engineer, you will play a key role in developing the testing and experimental benches that power our innovation. Working within the R&D department, you will partner with the Manufacturing team to design and implement automated quality inspection systems on the shop floor. You will also support product development by creating custom tools and testing solutions that enable rapid, reliable validation of our products.ResponsibilitiesTest Fixture Design – Design and develop production-ready testing and inspection fixtures.Software Development – Write, and maintain Python code for test automation, data acquisition, and analysis.CAD Design – Create and modify mechanical designs for test fixtures using CAD tools.Robotics & Automation – Build automated inspection systems to streamline workflows and reduce repetitive manual inspection.Cross-Team Collaboration – Partner with engineering, manufacturing, and quality teams to ensure consistent, high-quality production standards.Candidate RequirementsEducational Background: MSc in Electrical, Software, Mechanical engineering or fields.Hands-on experience with Python for automation, scripting, and data analysis. Knowledge of C/C++ is a plus.Proficiency in CAD tools (SolidWorks, Onshape or similar).Experience with automation systems, robotics, or machine vision.Strong problem-solving skills and ability to design practical, robust engineering solutions.Comfortable performing soldering, wiring, and small-scale electrical circuit design.Excellent communication skills and proven ability to collaborate across multidisciplinary teams.Familiarity with manufacturing environments and quality assurance practices is a plus.Location and CommitmentsContract: Full-time, permanent contractAvailability: ASAPLocation: ParisWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About the TeamAt OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times.Recruiting Operations is the backbone of this effort — we design, scale, and continuously improve the systems that enable our recruiters, sourcers, and coordinators to deliver world-class candidate experiences while meeting the company’s high hiring bar. We partner closely with our People Innovation Labs team, who build custom AI-first tooling, and with our Recruiting Enablement Program Manager, who ensures adoption and training.This role will sit in Recruiting Operations, focusing on automation, workflow optimization, and experimentation inside recruiting so our team feels like they are truly working in the future. You’ll collaborate with a peer Program Manager in this space, dividing ownership of the automation roadmap and scaling impact together.About the RoleAs a Recruiting Optimization & Automation Program Manager, you will own and co-drive the automation roadmap for the recruiting function. You’ll translate recruiter and coordinator pain points into automation opportunities, partner with People Innovation Labs to build complex solutions, and, when appropriate, directly build and ship lightweight workflows yourself.This role is perfect for someone who thrives at the intersection of recruiting operations, product thinking, and hands-on building. You will ensure OpenAI’s recruiting engine operates more efficiently and intelligently each quarter, with less manual friction and more leverage for recruiters.You’ll be responsible for:Co-owning the recruiting automation roadmap: Partner with your peer Program Manager to prioritize high-impact automation opportunities across sourcing, interviewing, offers, and onboarding.Piloting and scaling AI-first workflows: Run experiments with new tools and agents, measure ROI, and decide when to expand or sunset.Building when needed: Create lightweight automations and dashboards yourself (e.g., Airtable automations, Ashby workflows, Snowflake SQL queries, ChatGPT prompts).Bridging recruiting & People Innovation Labs: Translate recruiter needs into requirements for custom builds and ensure smooth integration into daily workflows.Streamlining processes across tools: Optimize usage of Ashby, Juicebox, Airtable, Snowflake, Brighthire, ChatGPT, and custom tooling through automations and connective workflows.Measuring & reporting impact: Define success metrics (hours saved, adoption rates, cycle time reductions) and report outcomes to Recruiting leadership.Driving adoption in partnership with Enablement: Ensure new workflows land well with recruiters, sourcers, and coordinators.Safeguarding compliance & quality: Ensure automations support legal, ethical, and organizational standards. We’re seeking:Recruiting systems fluency: 5–7+ years in Recruiting Operations, HR Tech, or adjacent roles; expertise with ATS/CRM systems (Ashby strongly preferred).Hands-on builder mindset: Comfortable rolling up your sleeves to ship automations directly (Zapier, Airtable scripting, Ashby automations, SQL queries, ChatGPT prompting).Program management excellence: Proven success in managing cross-functional projects and driving change adoption.Analytical ability: Strong proficiency with Google Sheets/Excel; SQL/Snowflake or BI experience a plus.AI & automation literacy: Familiar with AI tools and how they can be applied in recruiting workflows.Collaboration & influence skills: Able to work closely with technical partners (People Innovation Labs), fellow PMs, and business users.Bias for experimentation: Thrives on testing new ideas, iterating quickly, and making data-driven decisions.You might thrive in this role if you:Want to design and build the future of recruiting work.Love to both shape strategy and ship practical solutions with your own hands.Get energy from removing manual work and creating leverage for teams.See yourself as a translator between recruiters and engineers.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Ensure “Send me your Delphi” becomes as common as “Drop your LinkedIn.”Preserve legacies, unlock opportunities, and scale brilliance across generations.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!The RoleAs our AI Engineer, you will architect and implement improvements to the backbone of our Delphi mind architecture. The architecture is powered by knowledge graphs that capture information about the person as well as their associations, reasoning patterns, and conceptual frameworks that make each mind unique.Unlike traditional RAG systems that treat knowledge as a flat collection of documents, we’re building rich, hierarchical representations that mirror how human experts think and reason.What You’ll DoGraph Architecture & Design: design scalable knowledge graph architectures, develop novel embeddings to capture nuanced relationships, and build efficient indexing and retrieval for real-time querying.Evals for the Mind: defining the core components of the human mind, building strong mind architectures, giving customers confidence their minds improve over time, and advancing tone and style transfer to better reflect individuality.RAG System Innovation: build next-generation RAG systems that merge graph-based reasoning with neural retrieval and include robust evaluation frameworks to optimize quality across query types.Infrastructure & Scaling: scale infrastructure to support distributed, low-latency graph operations across thousands of instances with comprehensive monitoring and debugging tools.What You BringExpertise in building evals and fine-tuning models.Deep experience with retrieval-augmented generation, including both traditional and graph-based systems.Strong background in neural-symbolic approaches that combine reasoning with learning.Proven ability to design and scale distributed graph processing systems.Proficiency in Python and graph frameworks such as Neo4j, DGL, and PyG.Track record of translating academic research into production-ready systems.First-principles thinker, able to tackle novel technical challenges without established playbooks.Why You'll Love It Here Ambition: Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.Extreme upside: Very competitive salary and equity in a company on a breakout trajectory.Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.In-person collaboration: Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:We are seeking an experienced Technology focused Business Leader to join our Hyperscalers and Technology (HAT) organization. As a HAT Accounts Lead, you will play a critical role in developing and executing business strategies for our Generative AI (GenAI) products and services. You will work closely with cross-functional teams, including Product Management, Engineering, Sales, and Marketing to drive customer adoption, revenue growth, and market share expansion. Responsibilities: Pre-Sales Leadership Collaborate with sales teams to identify and qualify opportunities, providing technical expertise throughout the sales cycle. Partner with customers to understand their needs and craft tailored sales enablement materials and solutions leveraging Articul8’s suite of GenAI products. Conduct engaging product demonstrations, technical deep dives, and proof-of-concept (PoC) projects to showcase Articul8’s platform capabilities. Create compelling technical proposals, architecture diagrams, and value propositions that address client pain points. Revenue Generation and Deal ClosingTake ownership of the end-to-end sales process, from lead qualification to deal closure. Meet or exceed commercial targets by identifying new opportunities and converting leads into customers. Proactively manage a pipeline of opportunities, leveraging CRM tools to track progress and forecast revenue. Negotiate contracts, pricing, and terms, ensuring alignment with both customer goals and Articul8’s objectives. Coordinate with internal teams (product, engineering, operations, customer success) to ensure closing of deals. Account LeadershipServe as the primary point of contact and trusted advisor for assigned accounts, building long-term relationships with key stakeholders. Manage account activation, ensuring smooth onboarding, training, and initial implementation of Articul8 solutions. Technical Partnerships with Hyperscalers and Technology PartnersIdentify and develop technical partnerships with hyperscalers (Eg: Azure, GCP, or AWS) and technology partners to advance Articul8’s product differentiation Establish technical partnerships with industry associations to drive Articul8’s product relevance for targeted industries through development of domain specific AI models Act as a technical liaison, ensuring seamless collaboration between Articul8 and its ecosystem partners. Provide training and support to ensure partner evangelists are equipped to effectively position our GenAI products and services for adoption. Device one-to-many scale mechanisms to accelerate customer out-reach through partners Executive InfluencePitch, present and influence Enterprise C-level executives to accelerate their GenAI adoption with Articul8’s Products.Product FeedbackBe the voice of Customers and Partners by gathering feedback during pilot and at-scale deployments and feeding that back into the Product and Engineering teams. LegalDrive legal requirements completion as part of engaging with Customers and Partners. This includes but not limited NDAs, MoUs, SoWs etc. Comprehend the rapidly evolving GenAI Ethical, Security Policies and Regulatory landscape (Eg: GDPR) as part of building and scaling GenAI Products and services globally. Required Qualifications: Bachelor's degree in computer science, Engineering, Business Administration, or a related field. 10+ years of experience in customer facing technology leadership roles, in AI/Hi-tech industry. Experience with cloud computing platforms, including Azure, GCP, AWS, etc. Experience with technical sales enablement and Partner management Excellent communication, presentation, and interpersonal skills. Ability to work effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Preferred Qualifications: Master’s degree in computer science, Engineering, Business Administration, or a related field. GenAI knowledge of industry-specific trends and challenges. Experience with OEMs and Distributors Pricing expertise, especially SaaS and Enterprise software products Experience working on Enterprise Appliance products (such as Nvidia DGX Platform, etc) Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor, PhD, Master’s degree in Automotive Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleAs a Senior Software Engineer at Jasper, you'll be at the forefront of AI innovation, working directly with cutting-edge technologies that are reshaping how businesses approach content creation and marketing. This isn't your typical engineering role. You'll be building, experimenting with, and deploying AI systems that our users rely on to bring their boldest ideas to life.Working in our fully remote environment, you'll collaborate with a passionate team that values both technical excellence and creative problem-solving.This position reports to the Director of Engineering and is open to candidates located anywhere in the continental US. What you will do at JasperDesign, develop, and deploy features that leverage the latest in AI and machine learning technologies, working on core areas of the Jasper platform (e.g., content generation, collaboration tools, data pipelines, or integrations)Solve complex technical challenges that push the boundaries of what AI can accomplishWrite clean, maintainable code that solves intricate problems with elegant solutionsTake ownership of critical features from conception through deployment and beyondOptimize performance and proactively address scale challenges as our platform growsCollaborate closely with product and design teams to translate user needs into technical solutionsPrototype rapidly to validate new AI capabilities and user experiencesContribute to architectural decisions that will guide Jasper's technical evolutionTake initiative in identifying opportunities to improve our development processes and AI implementationsWork closely with product and design partners to deliver projectsWhat you will bring to Jasper 5+ years of experience in frontend engineering, preferably in a VC-backed startup environmentStrong proficiency in our tech stack: Typescript and ReactProven track record of delivering software that creates real value for usersComfort navigating ambiguity through rapid prototyping and iterative developmentExperience scaling applications and addressing performance challengesStrong communication skills and experience working effectively with cross-functional partnersA passion for continuous learning and improvement in fast-moving technology landscapesCompensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $180,000 - $220,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleAs a Software Engineer at Jasper, you'll be at the forefront of AI innovation, working directly with cutting-edge technologies that are reshaping how businesses approach content creation and marketing. This isn't your typical engineering role. You'll be building, experimenting with, and deploying AI systems that our users rely on to bring their boldest ideas to life.Working in our fully remote environment, you'll collaborate with a passionate team that values both technical excellence and creative problem-solving.This position reports to the Director of Engineering and is open to candidates located anywhere in the continental US. What you will do at JasperDesign, develop, and deploy features that leverage the latest in AI and machine learning technologies, working on core areas of the Jasper platform (e.g., content generation, collaboration tools, data pipelines, or integrations)Solve complex technical challenges that push the boundaries of what AI can accomplishWrite clean, maintainable code that solves intricate problems with elegant solutionsTake ownership of critical features from conception through deployment and beyondOptimize performance and proactively address scale challenges as our platform growsCollaborate closely with product and design teams to translate user needs into technical solutionsPrototype rapidly to validate new AI capabilities and user experiencesContribute to architectural decisions that will guide Jasper's technical evolutionTake initiative in identifying opportunities to improve our development processes and AI implementationsWork closely with product and design partners to deliver projectsWhat you will bring to Jasper 3+ years of experience in frontend engineering, preferably in a VC-backed startup environmentStrong proficiency in our tech stack: Typescript and ReactProven track record of delivering software that creates real value for usersComfort navigating ambiguity through rapid prototyping and iterative developmentExperience scaling applications and addressing performance challengesStrong communication skills and experience working effectively with cross-functional partnersA passion for continuous learning and improvement in fast-moving technology landscapesCompensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $140,000 - $180,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About Augment Augment Code is an AI coding and collaboration assistant built for teams working in large, complex codebases. Our vision is to automate all parts of the software development lifecycle (SDLC) with Agents, helping enterprises move faster, improve code quality, and keep developers in flow. We already power developers at leading companies, and we’re just getting started. As enterprise adoption accelerates, we’re looking for a Product Manager, Enterprise to champion enterprise needs inside Augment and unlock the next wave of adoption. About the Role As Product Manager, Enterprise, your mission is simple: maximize adoption of Augment within the enterprise. You’ll partner closely with customers to understand their workflows, challenges, and aspirations—and then work with engineering, design, and GTM to translate those insights into product capabilities and strategies that help enterprises reimagine their SDLC with Agents. You’ll be the voice of the enterprise inside Augment, ensuring that everything we build—from product features to pricing to rollout strategies—delivers lasting value to organizations with complex needs. This role is ideal for someone who thrives at the intersection of technical depth, enterprise empathy, and strategic execution. What You’ll Focus On Enterprise adoption & expansion: Design the roadmap and features that make Augment indispensable to large organizations—from onboarding at scale to compliance, governance, and advanced collaboration use cases. Enterprise workflows with Agents: Partner with enterprises to pilot new agentic workflows across the SDLC (e.g., code review, incident response, migrations, compliance automation). Cross-functional leadership: Collaborate tightly with engineering, design, GTM, and customer success to champion enterprise needs, prioritize tradeoffs, and execute on adoption-critical features. Go-to-market strategy: Own enterprise positioning, packaging, and deployment strategies in partnership with GTM leadership. Customer closeness: Spend significant time with enterprise partners, understanding their environments and co-designing workflows that unlock real business value. Responsibilities Define and execute the vision and strategy for enterprise adoption of Augment Identify, prioritize, and deliver features that drive enterprise value and sustainable growth Own the enterprise GTM strategy in partnership with sales and marketing Translate customer insights into product requirements, workflows, and adoption levers Act as the internal champion for enterprise, influencing product and company direction You Might Be a Good Fit If You Have 5+ years of product management experience, ideally with enterprise SaaS and/or developer tools Bring a technical background (experience with developer platforms, AI/ML, or infrastructure products is a plus) and can work closely with engineering on deeply technical products Have a track record of driving adoption in enterprise settings, from launching new products to scaling adoption across large organizations Are equally comfortable with customer conversations, internal roadmap debates, and executive strategy discussions Love working directly with developers and enterprise stakeholders to solve their toughest challenges Thrive in a fast-paced, ambiguous environment, balancing short-term adoption wins with long-term enterprise vision Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$200,000—$300,000 USD

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

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

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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 The Quality Engineering team ensures every HP IQ experience is robust, reliable, and delightful to use. We are looking for a Senior Quality Assurance Engineer to lead test strategy and quality initiatives across software and hardware teams. You’ll define and scale test automation, influence architecture for testability, and partner across disciplines to raise the bar for what quality means in the AI era. What You Might Do Design comprehensive test strategies that align with product goals, technical architecture, and customer experience. Develop and maintain automation frameworks for functional, regression, and integration testing. Cross-functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release. Define and drive key quality metrics, triage defect patterns, and surface actionable insights through dashboards and reports. Establish standards for test planning, execution, and documentation, mentoring QA engineers and championing best practices across teams. Build tooling and infrastructure to support continuous integration, faster feedback cycles, and scalable test coverage. Proactively identify future testing needs across cloud, edge, and device interfaces—shaping the long-term QA roadmap. Essential Qualifications 5+ years of experience in software quality engineering, with a proven record of raising quality bars in complex systems. Strong background in both manual and automated testing for customer-facing applications. Proficiency with test automation tools and scripting (e.g., Selenium, Playwright, Python, or similar). Deep understanding of QA methodologies, metrics, and test architecture design. Experience programmatically validating product behavior and analyzing diagnostic signals from CI pipelines. Bachelor's degree in Computer Science or a related field. Preferred Skills Experience testing AI-powered or edge-connected applications. Familiarity with backend service testing, distributed systems, and API validation. Strong communication skills that emphasize collaboration, documentation, and continuous improvement. Knowledge of cloud-based infrastructure and CI/CD tools (e.g., GitHub Actions, Jenkins, or CircleCI). Passion for user experience, accessibility, and long-term product health. Salary range: $120,000 - $188,000Compensation & 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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About the Role AI Fund is launching a new venture in and seeking a Founder in Residence (FIR) to lead it from concept to company. This is a ground-floor opportunity for a product-oriented, technical builder with proven 0–1 product experience to shape, execute, and scale a venture. As Founder in Residence, you will define the product vision, lead technical execution, and serve as the company’s CEO. You’ll apply deep GenAI expertise and product intuition to solve meaningful user problems—working in close partnership with a Product Builder, Technical Builder, and AI Fund leadership. This role demands high ownership, rapid iteration in ambiguous environments, and a founder mindset. About PC: EmbedFi is bringing a modern diligence stack to the lease and loan process for SMBs looking to get essential hardware and materials for their operations– from IT to construction equipment. Currently, hardware manufacturers offer steep terms or push small businesses to retail channels because it’s too risky and too costly to diligence those businesses. EmbedFi provides the ticket to entry for SMB’s by providing trusted, comprehensive risk analysis that enables them to get great terms fast and build trust by working with multiple lenders over the lifetime of their business. What You'll Do: Lead technical execution from early experimentation through MVPPartner with a Product Builder to define and evolve the product visionExplore and apply the latest GenAI capabilities to real-world use casesBuild and ship prototypes using LLMs, agents, RAG pipelines, eval frameworks, and moreArchitect scalable, full-stack systems using modern cloud infrastructureEngage directly with users to gather insights, iterate rapidly, and refine the productOperate with a founder mindset, making bold decisions with incomplete data and driving execution forwardSet and maintain a high bar for engineering and product quality while moving fast Required Qualifications: Strong technical fluency in GenAI, LLMs, and modern ML frameworksHands-on experience shipping full-stack, cloud-native applicationsProven track record of building and launching 0–1 productsComfortable leading in ambiguity and acting without perfect informationStrong cross-functional collaboration skills (product, design, GTM)Excellent leadership and communication skills that inspire alignment and trust Nice To have: Prior startup or founding engineer experienceFamiliarity with fundraising or technical stakeholder communicationDomain expertise in the SMB Fintech space

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role As a Software Engineer at Jasper, you'll be at the forefront of AI innovation, working directly with cutting-edge technologies that are reshaping how businesses approach content creation and marketing. This isn't your typical engineering role. You'll be building, experimenting with, and deploying AI systems that our users rely on to bring their boldest ideas to life.Working in our fully remote environment, you'll collaborate with a passionate team that values both technical excellence and creative problem-solving.This position reports to the Director of Engineering and is open to candidates located anywhere in the continental US. What you will do at JasperDesign, develop, and deploy features that leverage the latest in AI and machine learning technologies, working on core areas of the Jasper platform (e.g., content generation, collaboration tools, data pipelines, or integrations)Work directly with large language models, natural language processing, and generative AI systemsSolve complex technical challenges that push the boundaries of what AI can accomplishWrite clean, maintainable code that solves intricate problems with elegant solutionsTake ownership of critical features from conception through deployment and beyondOptimize performance and proactively address scale challenges as our platform growsCollaborate closely with product and design teams to translate user needs into technical solutionsPrototype rapidly to validate new AI capabilities and user experiencesContribute to architectural decisions that will guide Jasper's technical evolutionTake initiative in identifying opportunities to improve our development processes and AI implementationsWork closely with product and design partners to deliver projectsWhat you will bring to Jasper 3+ years of experience in backend engineering, preferably in a VC-backed startup environmentStrong proficiency in our tech stack: Typescript (Node JS), NestJS Framework, PythonExperience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, or demonstrated ability to quickly learn and apply these approachesProven track record of delivering software that creates real value for usersComfort navigating ambiguity through rapid prototyping and iterative developmentExperience scaling applications and addressing performance challengesStrong communication skills and experience working effectively with cross-functional partnersA passion for continuous learning and improvement in fast-moving technology landscapesCompensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $140,000 - $180,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role As a Senior Software Engineer at Jasper, you'll be at the forefront of AI innovation, working directly with cutting-edge technologies that are reshaping how businesses approach content creation and marketing. This isn't your typical engineering role. You'll be building, experimenting with, and deploying AI systems that our users rely on to bring their boldest ideas to life.Working in our fully remote environment, you'll collaborate with a passionate team that values both technical excellence and creative problem-solving.This position reports to the Director of Engineering and is open to candidates located anywhere in the continental US. What you will do at JasperDesign, develop, and deploy features that leverage the latest in AI and machine learning technologies, working on core areas of the Jasper platform (e.g., content generation, collaboration tools, data pipelines, or integrations)Work directly with large language models, natural language processing, and generative AI systemsSolve complex technical challenges that push the boundaries of what AI can accomplishWrite clean, maintainable code that solves intricate problems with elegant solutionsTake ownership of critical features from conception through deployment and beyondOptimize performance and proactively address scale challenges as our platform growsCollaborate closely with product and design teams to translate user needs into technical solutionsPrototype rapidly to validate new AI capabilities and user experiencesContribute to architectural decisions that will guide Jasper's technical evolutionTake initiative in identifying opportunities to improve our development processes and AI implementationsWork closely with product and design partners to deliver projectsWhat you will bring to Jasper 5+ years of experience in backend engineering, preferably in a VC-backed startup environmentStrong proficiency in our tech stack: Typescript(Node JS), NestJS Framework, PythonExperience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, or demonstrated ability to quickly learn and apply these approachesProven track record of delivering software that creates real value for usersComfort navigating ambiguity through rapid prototyping and iterative developmentExperience scaling applications and addressing performance challengesStrong communication skills and experience working effectively with cross-functional partnersA passion for continuous learning and improvement in fast-moving technology landscapesCompensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $180,000 - $220,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users. This role is designed for candidates graduating between December 2025–July 2026. We are an in-person company based in San Francisco and New York.In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customersYour background looks something like thisPursuing or completing a B.S. (or higher) in Computer Science or a related technical fieldProficiency with Python, Typescript, and asynchronous programmingTrack record of building and shipping high-quality products and features through coursework, internships, or personal projectsExcitement to thrive in a fast-paced environment, continuously learn, and sharpen your skillsEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners, and snacks in the office to keep you at your bestCompensation$180K + Offers Equity

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About Us and the RoleAt Sobek AI, we’re building the secure nervous system for life‑sciences innovation networks and intergovernmental emergency response. Backed by $10M+ in grants and funding, we work with global, high‑impact partners to accelerate mission-critical, distributed workflows with AI. We’re looking for a bedrock hire to help us build out the core that makes this possible.This role sits at the intersection of rigorous software engineering and cutting edge AI. You’ll turn ambiguous problems into reliable, production‑grade AI workflows, making use of strong distributed‑systems fundamentals, and with clear ownership, observability, and security. The systems that you will ship will meaningfully accelerate vaccine R&D and global emergency coordination. What You’ll DoDesign reliable AI workflows: Build multi‑step, tool‑using agents with typed tool contracts, deterministic routing, self‑checks, and guardrails. Context engineering: Implement selection, compression, isolation, structured memory, query planning, and retrieval strategies, with metrics and debuggability. Orchestration & correctness: Own state machines/graphs for agent steps; backoffs/retries; idempotency Interoperability Add adapters to invoke external agents and let our capabilities be invoked on the other end, (e.g., headless/MCP); enforce typed contracts and least‑privilege context across boundaries. Compute in the loop: Orchestrate computational/AI models (simulation, optimization, classic ML, foundation models) alongside LLM steps; schedule long‑running jobs with provenance, caching, and resumability. Ship production systems end‑to‑end: Stand up services, write clean REST/gRPC APIs, wire queues/workers, add feature flags, and harden for scale. Cost, latency, quality: Optimize context budgets, caching, model/tool selection, track and improve SLOs. Make AI observable & safe: Instrument traces/metrics/logs across LLM calls, tools, retrieval, and compute; build offline/CI evaluation harnesses (faithfulness, retrieval quality, safety, task success) that gate deploys. About You3+ years shipping production backend/distributed systems at a product company (or 2+ with exceptional trajectory and ownership) as a Software Engineer Fluency in Python or TypeScript/Node.js; comfortable with async workers, queues, and clean API design (REST/gRPC). Comfortable integrating graphs into LLM reasoning chains (e.g. GraphRag) Hands on experience with one of AWS/GCP/Azure + IaC, containers/orchestration Practical LLM integration: You can reason deeply about latency, cost, safety, and determinism Observability first: logs, traces, metrics—you’ve instrumented end‑to‑end (e.g., OpenTelemetry) and owned SLOs/alerting. Security mindset: least‑privilege access, sensible secrets management, and privacy by default. Communicate clearly, document decisions (ADRs welcome), and raise the engineering bar through reviews and mentorship. BonusWorked with highly sensitive data (life sciences, government) or in regulated environments (e.g., HIPAA/PHI, SOC 2/ISO). Comfortable fine-tuning LLMs and/or training SLMs Built multi‑tenant enterprise software DetailsCompensation: $140 K – $190 KLocation: Hybrid (Seattle, WA)Visa: We do not sponsor visas for this role at this timeBenefits: Company-paid health coverage (including dependents)Equity: Meaningful ownership for early engineers, with flexibility to extend for exceptional scope and impact.