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Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform. You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform, enabling real-time decision-making across the organization. In this role, you will drive consistency and quality by defining the right engineering strategies. You will oversee multiple engineering projects, ensure timely execution, collaborate across functions, and mentor engineers to grow into high-performing contributors.

About the Role We are seeking a Staff Quality Engineer to establish and lead the quality program for our prototype assembly line supporting next-generation autonomous food-delivery robots. Reporting directly to the Head of Manufacturing, you will architect the quality systems, processes, and supplier partnerships required to transition our platform from prototype to scalable production. This role demands deep experience in supplier quality, manufacturing process development, and translating system-level requirements into robust controls on the factory floor. The ideal candidate thrives in a fast-paced, hardware-driven environment, is passionate about building high-reliability products, and holds an uncompromising commitment to operational excellence. This role is based in Fremont, CA, with periodic travel to suppliers and manufacturing partners as needed. You're excited about this opportunity because you will… Build the end-to-end quality program for a prototype robotic assembly line, including process documentation, traceability requirements, and manufacturing control plans. Define quality standards and inspection criteria for our parts and sub-assemblies. Establish and manage the supplier quality function, including qualification, audits, PPAP/APQP alignment, and ongoing supplier performance monitoring. Collaborate with systems engineering to derive PFMEAs, connecting system-level risks to process-level controls, inspection steps, and mitigation strategies. Develop in-line quality control processes, including incoming inspection, in-process checks, and end-of-line validation for prototype builds. Lead the Material Review Board (MRB) to drive disposition of non-conformining material (NCM) Lead root-cause analysis (RCA) for build issues, field failures, and supplier-related nonconformances; drive corrective and preventive actions (CAPA). Partner closely with manufacturing, design, systems, and test teams to ensure that quality requirements are integrated from concep

You’ll shape the future of a business‑critical platform as the technical lead across both product engineering and cloud infrastructure. You’ll modernize a mature .NET application running on AWS today, while steering its evolution toward a cloud‑native, React/Node.js, AI‑enabled architecture. If you enjoy owning architecture end‑to‑end, from backend and frontend through CI/CD, DevOps, and AWS infrastructure, this role gives you real influence at Staff Engineer level and the opportunity to set engineering standards that others follow. You’ll spend your time leading complex .NET and React features, designing scalable AWS infrastructure with Infrastructure as Code, and building automation that makes releases fast, safe, and repeatable. You’ll work on performance, reliability, and modernization in equal measure—fixing what’s slowing the platform down today and designing what it will look like in the next generation. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture and development of enterprise .NET services and APIs that power a business‑critical platform. Design and operate AWS infrastructure (using AWS CDK in TypeScript) to support secure, scalable, multi‑environment deployments. Build and optimize CI/CD pipelines (AWS CodePipeline, CodeBuild, Windows build agents) to make shipping .NET and React changes fast and reliable. Drive modernization initiatives across the stack, including clean architecture, refactoring legacy components, and reducing technical debt. Design and tune PostgreSQL and MSSQL database solutions for performance, scalability, and reliability. Mentor engineers and influence engineering practices across teams, raising the bar on cloud, DevOps, and software design. These are the essentials you’ll need to get an interview Significant experience (typically 8+ years) delivering and operating scalable enterprise software, owning both application code and cloud infrastructure. Deep hands‑on expertise with C

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scie

The role Scale builds enterprise AI systems deployed into production. As a Solutions Architect, you lead technical execution for enterprise deals in your vertical from initial discovery through deal close, and remain involved post-sale to support account growth. You own an assigned set of enterprise accounts. You conduct technical discovery, evaluate technical feasibility, build solution prototypes, and serve as the main technical point of contact for customer engineering and leadership teams. You work alongside three primary partners: the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). What you will own Technical discovery and qualification. Lead technical discovery and complete the Technical Qualification Checklist, evaluating feasibility, data readiness, integration requirements, security/compliance, evaluation readiness, and stakeholder alignment. Provide clear go/no-go recommendations for prospective deals. Evaluation and success criteria. Define performance metrics and evaluation criteria before proposal stage, including quality dimensions, baselines, evaluation datasets, and subject-matter expert access requirements. Customer workshops. Lead executive technical workshops for target use cases. Prepare pre-read materials and build working prototypes or live demos to validate proposed technical architectures. Statement of Work (SOW) input. Supply the technical input package for SOW creation (architectural approach, prototype findings, risks, dependencies, and assumptions) and review draft SOWs for technical accuracy. Post-sale account engagement. Maintain long-term technical engagement with signed accounts, identify expansion opportunities for new use cases, and share delivery feedback with GTM teams. Vertical technical assets. Develop reference architectures, demo environments, discovery templates, and evaluation frameworks for your assigned industry vertical. Wha

The main duty for yoga instructors is to create a curriculum and lead groups through various levels and types of yoga practice. This can include doing administrative work for the class getting equipment together and getting to know what participating clients want. Demonstrate practice and technique. As the expert you will use your body to show the correct way to get into poses the most beneficial breathing patterns and tips for achieving spiritual wellness. Offer adjustments and training recommendations. Address: RELIANCE INDUSTRIES LIMITED JAMNAGAR Taluka Lalpur District Jamnagar State Gujarat Pincode 361142 Facility: RIL -VIP GH- JAMANAGAR GH - FS Qualification: Not Specified Experience: 4 - 10 years Source: Sodexo India | Job Code: IJP498438

About the role We’re hiring a CRM Manager to join our Lifecycle & CRM Marketing team. You’ll own the technical foundation behind how Chime engages members across email, push, in-app, and SMS. This is a hands-on, technical role. You’ll lead principal-level projects that make our CRM programs scalable, reliable, and healthy, including the processes the team runs on, the health of every channel, and new tools and capabilities. You’ll operate with a high degree of independence, lead through ambiguity, and know when to escalate, partnering closely with Lifecycle Marketing, Engineering, Data Engineering, Product, Data Science, Analytics, and Legal & Compliance. You’ll also help define how Chime’s CRM ecosystem evolves through data, AI, automation, and real-time personalization. In this role, you can expect to Own the strategy, roadmap, and day-to-day health of Chime’s CRM platform and channel ecosystem, setting a clear technical direction tied to member experience and business outcomes. Lead principal projects to implement, integrate, and scale new tools and capabilities, from defining requirements and evaluating vendors through rollout, adoption, and measuring impact. Monitor and improve channel health across email, push, in-app, and SMS, including deliverability, sender reputation, opt-in and reachability rates, frequency and fatigue management, and preference and consent management. Design and improve the processes behind lifecycle execution, including campaign intake, build standards, QA, governance, and documentation, so the team can move faster with fewer errors. Partner with Engineering and Data Engineering on the data foundations of CRM: event and attribute design, data flows into the platform, APIs and webhooks, and real-time triggering. Build and refine complex, data-driven journeys and personalization logic (e.g., Liquid, Connected Content, dynamic segmentation) and set the bar for technical execution across the team. Use AI tools and automation as a co

As a Director, Global Structuring at Citi, you will lead the design and execution of sophisticated financial solutions that help issuers and investors navigate global capital markets. This is an opportunity to shape Citi's global structuring strategy, own complex transaction structuring from concept through execution, and build lasting relationships with clients and partners around the world. You will sit at the center of a high-impact team driving innovation in depositary receipt (DR) programs. Responsibilities Lead the global structuring framework by reviewing, shaping, and approving proposals for complex transactions and managing the full lifecycle of depositary receipt programs . Oversee the implementation of corporate actions and lifecycle events for the depositary receipts business, including structural safekeeping accounts and sponsored depositary receipt programs. Partner with business and functional teams across the organization to implement Citi's global DR structuring strategy. Drive new product development by designing innovative structuring solutions, including digital innovation initiatives within depositary receipt programs. Negotiate and finalize deal contracts with clients and counterparty institutions, managing DR program transfers and milestone offering transactions. Advise clients and prospective clients during pitches, deal discussions, and account reviews, guiding issuers through complex corporate actions and proxy events across markets including Asia, Latin America, and Europe. Coordinate with sales, trading, legal, compliance, risk, and credit teams, as well as external parties such as transfer agents, stock exchanges, and depositaries, to ensure seamless transaction execution. Identify and mitigate financial, legal, and operational risks tied to structured transactions. Mentor junior members of the structurin

Location: West US Region Natera is seeking an experienced Regional Director to build, lead, and develop a team of Clinical Oncology Specialists focused on Genitourinary (GU) cancers across the Western United States. This specialized sales team will drive adoption of Natera’s Signatera™ molecular residual disease (MRD) test , with a primary focus on Urologic Oncology. Key call points include Urologic Oncologists, GU Surgical Oncologists, Radiation Oncologists, Medical Oncologists, Pathologists, and other healthcare providers involved in the diagnosis, treatment, and ongoing management of patients with genitourinary cancers. Signatera is a personalized, tumor-informed circulating tumor DNA (ctDNA) assay designed to detect molecular residual disease and monitor disease recurrence. Across GU cancers, including bladder, renal cell carcinoma, and testicular cancers, Signatera provides highly specific molecular insights that can help clinicians better assess recurrence risk, monitor disease status, and inform individualized patient management strategies. The Regional Director will drive sales performance, ensure sales goals and management objectives are achieved or exceeded, and collaborate with cross-functional teams to develop and execute business strategies aligned with Natera Oncology's broader corporate objectives. Key Responsibilities Hire, coach, develop, and lead a team of approximately 10 Clinical Oncology Specialists focused on GU cancers, driving Signatera adoption and achieving regional sales objectives. Establish a strong field leadership presence through strategic business planning, coaching, CRM utilization, Core Oncology Sales collaboration, and regular field engagement. Develop and execute regional sales strategies targeting Urologic Oncologists, GU Surgical Oncologists, Medical Oncologists, Pathologists, and other key stakeholders across academic and community oncology settings. Build and strengthen relationships with Key Opinion Leaders (KOLs) specializi

We’re looking for a commercially minded, full-funnel Marketing Manager to lead enterprise and acquisition marketing across the Nordic region, with a strong focus on high-growth AI/Digital Natives. The role reports to the Head of Northern Europe Marketing and will be part of the International Marketing organisation. This role blends regional field marketing expertise with a modern, data-driven growth mindset: building awareness, creating qualified pipeline, accelerating conversion, and establishing MongoDB as the partner of choice for AI-native companies and Enterprise organisations. The successful candidate will own the regional marketing strategy and execution across the region. They will partner closely with Sales, SDRs, Partner Marketing, Product Marketing, Developer Relations, and Growth teams to drive focused acquisition programs for AI/Digital Natives across the region. We are looking to speak to candidates who are based in Stockholm for our hybrid working model. What you’ll do Regional strategy and execution Build and execute an integrated marketing plan for the Nordics, aligned to revenue priorities, target accounts, segments, and country-specific market dynamics Translate global & EMEA campaigns into locally relevant programs that generate awareness, engagement, and measurable pipeline Own the regional marketing mix, including field events, executive programs, digital demand generation, partner motions, communities, and third-party activations Manage regional budget, agency relationships, timelines, and performance reporting Ensure programs reflect local languages, culture, buying behaviours, and regulatory requirements where appropriate AI/Digital Natives acquisition Design and run acquisition campaigns that identify, engage, and convert early-stage and scaling AI/Digital Natives Define priority startup audiences, buying centres, use cases, triggers, and conversion paths in partnership with Sales, Product Marketing, and Developer Relations Develo

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

Graphcore Director-Post Silicon Validation (Functional) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, Texas which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and validation. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Working within the Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. Th