Content Manager Jobs

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

Programmeur moteur senior Responsabilités: Être une personne avant-gardiste qui aime concevoir de nouvelles architectures/fonctionnalités techniques tout en résolvant des problèmes complexes à travers le moteur et la pile technologique. Gérer et maintenir notre moteur de base tout en aidant aux intégrations d'Epic Games et d'autres fournisseurs. Contribuer au développement de systèmes de bas niveau tels que le streaming, la sérialisation générique, et plus encore. Assumer la responsabilité et résoudre les problèmes liés aux performances (ex. CPU, GPU, mémoire, temps de chargement) à l'aide de profileurs et d'autres outils de mesure. Se tenir informé des développements technologiques et des avancées dans l'industrie du jeu vidéo. Utiliser des outils d'IA/LLM pour accroître la productivité. Qualifications : Baccalauréat en informatique ou dans un domaine connexe. Minimum de 8 ans d'expérience dans l'industrie du jeu vidéo avec 1 titre AAA multiplateforme publié. Minimum de 3 ans d'expérience dans le développement de jeux avec Unreal Engine. Solides compétences en communication écrite et verbale. Expert en C++ (C++17 est un atout). C# est un atout. Maîtrise de la programmation multithread et solide compréhension de ses principes. Une solide compréhension des modèles de conception et des conteneurs est indispensable. Capacité à profiler et analyser le code et à l'optimiser pour répondre aux exigences de performance et de mémoire. Nous recherchons un généraliste aux compétences polyvalentes. Avoir une spécialisation pertinente (ex. en rendu, maillage de navigation ou recherche de chemin) est un atout majeur. Une expérience dans l'intégration de code/contenu entre les systèmes de contrôle de version (serveurs internes/externes) est requise. Capable de travailler de manière indépendante et efficace, en respectant des délais raisonnables. Pourquoi nous pourrions être la compagnie parfaite pour toi: Nous offrons l’expérience unique de faire partie de la création d'une nouvel

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. 🚀 You’ll be a hands-on sales leader who can coach in the moment, raise performance standards, and turn operating rigor into better customer outcomes. You’ll partner closely with Growth, Marketing, Operations, and Product to improve how the region creates pipeline, runs deals, and delivers a consistently strong customer experience. Mission Build and lead a high-performing commercial sales organization across EMEA that consistently turns pipeline into durable revenue while raising the bar on coaching, operational discipline, and customer value. What You’ll Own Lead, coach, and develop a team of Account Executives focused on the commercial segment across the UK and EMEA Drive pipeline generation, deal execution, and consistent attainment of regional revenue targets Build a strong operating cadence around forecasting, pipeline inspection, deal reviews, and rep development Hire, ramp, and retain high-performing talent while creating an ambitious, inclusive, and motivating team culture Improve sales process scalability through better use of data, performance metrics, and repeatable best practices Partner closely with Growth, Marketing, Operations, and Product to improve conversion, support key accounts, and remove friction in the customer journey Lead with a customer-first approach and reinforce high standards for thoughtful, value-based selling Report on performance, pipeline health, forecast accuracy, and improvement opportunities to senior leadership Required Qualifications Significant experience leading SaaS sales teams in a commercial or mid-market motion Strong knowledge of selling into UK and broader EM

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an Account Executive, Mid-Market, you’ll own the complete sales process from start to finish. You’ll work closely with Sales leadership and Sales Engineers to develop a medium-sized business prospect into an active Dialpad client. In addition, you’ll help businesses solve complex communication problems that affect e

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a strong Senior Software Engineer in Test (SET) to build scalable automation frameworks for multi-language SDKs, Model Context Protocol (MCP), and AI-powered workflows. The role focuses on SDK testing, MCP protocol validation, prompt automation, and developer productivity tools. Strong programming and framework development skills are essential; UI and API automation are secondary. Key Responsibilities Design and develop reusable automation frameworks for SDKs across multiple languages, including TypeScript/JavaScript, Python, Java, and Go. Automate SDK functionality, compatibility, error handling, integration, and release validation. Build and maintain MCP test frameworks to validate clients, servers, tools, resources, prompts, transports, and protocol interactions. Develop automated tests for prompts, AI workflows, tool calling, structured outputs, and LLM response quality. Develop and maintain automated test coverage for XAA, validating functionality, integrations, error handling, and reliability across supported workflows. Build reusable test utilities, mocks, test harnesses, and developer productivity tools. Integrate automated tests into CI/CD pipelines and troubleshoot flaky tests, failures, and infrastructure issues. Leverage GitHub Copilot, Claude Code, and other GenAI tools for test generation, debugging, and framework development. Collaborate with developers, architects, and platform teams to improve quality, reliability, and re

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Care Experience team builds the systems and tools Toast’s care agents rely on to support restaurants every day—the foundation behind every phone call, chat conversation, and support case. This work directly determines how quickly restaurants get back up and running. When agents have fast, reliable tools with the right context, they resolve issues in minutes. When they don’t, resolution slows—and every delay in fixing a payment issue, menu problem, or device failure costs restaurants real revenue. We’re rebuilding this experience from the ground up: migrating to a new omnichannel contact center platform and creating a true “single pane of glass” for agents. That means bringing together customer data, account context, device state, case history, and operational tools into one unified system—so agents can focus on solving problems, not piecing together information. As an engineer on this team, you’ll help define and build that foundation for how hundreds of care agents support tens of thousands of restaurants. You’ll drive the migration while also shaping what comes next—integrating backend systems, designing workflows, and continuously improving the experience based on how agents actually work. This work requires strong empathy for internal customers and a willingness to operate within real constraints. You’ll navigate complex integrations, vendor platform limitations, and real-time system dependencies—all while ensuring the system is reliable enough to support a high-throughput, always-on support organization. As a Staff Software Engineer Tech Lead, you’ll own projects end-to-end: building agent-facing features, improving system performance and reliability, and iterating based on real operational feedback. You’ll partner closely with product, care operations, and engineering team

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. About our Team: We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability—both in the development workflow and in production systems. This role focuses on designing and integrating AI-powered solutions using custom agents, Model Context Protocol (MCP), and scalable software engineering practices to accelerate development and deliver reliable, production-grade systems. Our team needs additional support to scale with the increased SMAI Data Science footprint and expand software support for Technology Development workflows and AI enablement. Position Overview: We are looking for an AI Full Stack Engineer who builds modern applications using AI as a first-class capability—both as part of the development workflow and the systems we ship. This role goes beyond simply using AI coding assistants. It requires strong understanding of advanced timely creation, vibe scripting, Rework Rate Reduction, and applying Custom Agents with integrations built around MCP or equivalent experience. The goal is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and delivered applications. Responsibilities: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards; design, build, test, deploy, and operate full stack software solutions while owning features end‑to‑end includ

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities`` Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buyi

About the role We are looking for a Senior Business Operations Associate to help run an AI-native operating environment across people, AI agents, and cross-functional teams. This is a high-ownership business operations role for someone who combines strong business judgement with enough technical fluency. You will help turn AI-agent capabilities into reliable production workflows, keep teams aligned in real time, and ensure that AI-heavy processes have clear ownership, quality standards, handoffs, and escalation paths. The role sits at the intersection of business operations, product operations, technology, and digital assets. You will need to move quickly, communicate clearly, understand changing market context, and remain dependable when urgent internal issues arise. What you’ll do Real-time business and team alignment Coordinate real-time alignment across business teams, Engineering, Product, Operations, AI agents, and other stakeholders. Translate business priorities into clear workflows, owners, decision points, and next actions. Identify bottlenecks, unclear handoffs, conflicting priorities, and gaps in execution. Maintain visibility across fast-moving initiatives and ensure critical work continues to move forward. Stay informed about market, product, and digital-asset developments that may affect internal priorities. AI-enabled production workflows Partner with Engineering to identify where AI-agent capabilities can improve business and operational workflows. Help translate business requirements into agent prompts, workflow logic, operating procedures, and quality criteria. Support the deployment of AI-agent capabilities into reliable production processes. Test and refine AI-heavy workflows, including edge cases, failure modes, escalation rules, and human handoffs. Build practical feedback loops between business

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. About our Team: We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability—both in the development workflow and in production systems. This role focuses on designing and integrating AI-powered solutions using custom agents, Model Context Protocol (MCP), and scalable software engineering practices to accelerate development and deliver reliable, production-grade systems. Our team needs additional support to scale with the increased SMAI Data Science footprint and expand software support for Technology Development workflows and AI enablement. Position Overview: We are looking for an AI Full Stack Engineer who builds modern applications using AI as a first-class capability—both as part of the development workflow and the systems we ship. This role goes beyond simply using AI coding assistants. It requires strong understanding of advanced timely creation, vibe scripting, Rework Rate Reduction, and applying Custom Agents with integrations built around MCP or equivalent experience. The goal is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and delivered applications. Responsibilities: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards; design, build, test, deploy, and operate full stack software solutions while owning features end‑to‑end including system

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times Shows department is hiring a staff editor to fact check episodes of Hard Fork, both in video and audio formats. You will work with producers and editors to check facts and assertions, with extra attention to the tone and context in which they're delivered. You are comfortable working in print, audio and video mediums in a fast-paced news environment. We're looking for exceptional news judgment, an investigator's mind and the ability to dive into unfamiliar material on deadline. And while we value deliberate, careful checking, speed is also important. The fact checker will be part of a small group of producers and editors, so collegiality, diplomacy and a collaborative spirit are a must. This is a part-time role for 20 hours a week to start. It could scale up over time. You will report to the Executive Producer of Hard Fork. This is an in-office position, based in New York City and includes regular attendance in the office each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities: Check factual assertions in podcast and video episodes to determine veracity and correctness on deadline Check prep documents and listen during live recordings to track facts and assertions to be verified Listen to drafts, checking all facts, noting attribution, and providing guidance on editing or adjusting material as needed Conduct quick and accurate research to gather and verify facts in collabo