A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organisations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow, the next you could be fine-tuning performance to enable low-latency operational outcomes. Our Product Development organisation is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product and work collaboratively to build cross functional capabilities, streamline user workflows and continuously improve our software's efficiency and reliability. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a
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About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R
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 role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking Translate complex technical architecture into clear, actionable risk advice Deliver integrated guidance on safety, security and data protection Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms Lead privacy diligence on mergers and acquisitions, and support corporate governance Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview As the Engineering Manager - Developer Productivity , you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. Responsibilities: Infrastructure & Tooling Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. Ensure our developer infrastructure is scalable, reliable, and secure. Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. Team Leadership & AI People Development Build, mentor, and lead a team of engineers focused on developer productivity. Foster a culture of collaboration, innovation, and accountability. Set clear goals and provide regular feedback to drive team performance in partnership with your Director. Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. Recognize and reward AI-driven improvements in performance conversations. Collaboration & Communication Work closely with engineering, product, and design t
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a 3X global award-winning partner of AWS with deep integrations across AWS services and a growing ecosystem of connectors, Elastic is positioned as the context and retrieval layer of choice for enterprise AI on AWS. AMER represents Elastic's largest revenue region, spanning the United States, Canada, and Latin America, with a concentration of enterprise accounts, a mature AWS Marketplace footprint, and the highest density of co-sell opportunities globally. The AWS relationship in AMER is both Elastic's greatest strategic growth lever and its most strategically complex partnership to execute, where collaboration and competition coexist across cloud, security, and AI. We are seeking a driven, expert AWS Alliance Director for AMER to lead execution of the joint Elastic–AWS go-to-market strategy across the region. This is a high-visibility individual contributor leadership role that demands executive presence, deep AWS ecosystem knowledge, ideally from time spent inside AWS, and the operational discipline to turn strategy into revenue. You will own Marketplace growth, co-sell engine activation, new logo acquisition, channel development, and expansion across AMER, directly partnering with AMER leadership and coordinating a broad internal stakeholder map. What You Will Be Doing Strategic Leadership Define and drive Elastic's AMER AW
About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Build intuitive experiences that help users discover, install, and use plugins to get more done. Make plugins easier to create, test, publish, update, and share. Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. Improve plugin reliability and interaction quality acros
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 About the Role ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention. Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue. Key Responsibilities Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, an
Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m
Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m
Solution Consulting & Customer Discovery: Lead consultative discovery conversations to comprehend customer workflows, business challenges, and success metrics. Translate customer needs into tailored Adobe solution recommendations across Document Cloud and Creative Cloud offerings. Design and deliver impactful, customized product demonstrations aligned with customer use cases and industry context. Position Adobe solutions through value-based storytelling, emphasizing productivity, collaboration, and workflow outcomes. Deal Strategy & Sales Execution: Collaborate closely with ICX Sales Advisors to advance opportunities throughout the sales cycle and support deal closure. Influence deal strategy by: Positioning solutions effectively Articulating use cases Discussing ROI and value Highlighting competitive differentiation Support pricing discussions, licensing clarity, procurement conversations, and objection handling. Drive momentum on opportunities to enhance pipeline conversion and opportunity closure ratios. Growth Product Acceleration: Serve as the primary specialist resource for growth products like Acrobat Studio, Acrobat Express, Adobe Sign, and related offerings. Drive revenue impact through: Significant deal influence Expansion of growth products Strategic upsell and cross-sell opportunities Support outbound and targeted engagement motions that introduce new Adobe solutions to customers. Product Expertise & Customer Advisory: Provide expert guidance and advice to customers on product usage and best practices. Collaborate with p
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testin
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R
About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & The Team: At Druva we are committed to building unique highly scalable next-gen software using the latest technologies and services from AWS. Our Druva resiliency cloud is built using serverless technology on Lambda, API Gateway, Aurora DB, and S3 and utilizes or integrates with 30 other AWS services. The emphasis is on scale. We provide Petabyte level storage solutions for some of the largest companies in the world, including many top fortune 50 companies, with industry-leading performance all through a SASS-enabled suite of products. Through partnership with AWS we pursue and drive innovation, and look to optimize our technology with new AWS services as they are released. We are looking for a Software Engineer, with Golang being the prominent experience requirement for the role. Reporting to the Director of Engineering, your primary focus will be the development of all server-side logic, definition, and maintenance of the central platform, and ensuring high performance and responsiveness to requests from the front-end. Ideally, the right candidate will focus on software delivery best practices through
Job Title: FCD BA · Business Analyst experience working in large complex Programmes within the financial services industry and Cloud (Google Cloud Platform). · Excellent documentation skills, promoting concise and clear written deliverables. · Experience with complex regulatory data models and cross functional solution designs. · Relevant experience within regulatory change in a Finance and Risk context. · Proven track record in dynamic environments, with the ability to manage teams with diverse backgrounds and skillsets, both locally and across regional sites and to maintain a global perspective. · Exceptional drive, motivation and commitment and focus in operational excellence. · Strong decision-making, problem-solving and interpersonal skills including the ability to influence stakeholders. Ability to provide SME knowledge in specific area to continuously improve areas of practice; minimum of a Bachelor’s degree in business, finance, mathematics, related field or equivalent experience. · Advance data interrogation skills using SQL and Excel · Proficient in using Python scripts to perform business analysis on large, high-volume datasets, enabling efficient data processing and insight generation. · Understanding of Basel III/IV and PRA/COREP Regulatory Reporting Requirements · Understanding of the HSBC data (facility, products, risk parameters used for credit risk calculation and reporting) · Ability to design functional solution options and support decision by identify risks/ pros/ cons
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Are you eager to grow your sales career in a Sales Development Representative role where you get to drive results and foster genuine connections? If so, your search ends here! We’re on the lookout for an exceptional individual who thrives in SDR processes, excels in selling SaaS (ideally productivity solutions) and has a proven track record of engaging mid-size to large companies across a variety of industries. As a natural solution seller, your innate curiosity and confidence shine through in every customer interaction. You’re a persuasive self-starter and a good listener, maintaining a high level of personal accountability while effectively communicating cross-functionally to nurture a healthy sales pipeline. With the majority of your time spent on emails, calls, and web conferences, we expect nothing less than an infectiously positive attitude throughout the prospecting, presenting, and closing phases! At our company, we value authenticity and emphasize the importance of helping customers see the true value of our solutions. We steer clear of aggressive sales tactics, instead focusing on facilitating product-led growth and ensuring our customers’ success. If you’re ready to embark on an exciting journey and make a real impact, hit that apply button and join us in redefining the sales landscape! The Role: Engage with our free user base to identify new opportunities for paid accounts. Run effective outbound prospecting campaigns including cold-calls, cold emails, and social touches. Qualify inbound leads by introducing ClickUp. Represent our brand to customers at the start of their research journey. S
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