Content Management Specialist Jobs

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

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 . Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements. As a Senior Staff Software Engineer you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills AI first mindset - Ability to effectively leve

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

About the Role We are seeking a Manager, Accounts Payable to lead Accounts Payable and Expense operations. This role will manage individual contributors and may oversee team leads while ensuring invoices, payments, reconciliations, tax reporting, and employee expenses are processed accurately and on time. The Manager, Accounts Payable will own team performance and execution while driving process improvements, automation, and reporting. You will work across Procurement, Accounting, Treasury, Tax, Finance, and other teams to resolve complex issues, strengthen controls, and improve the procure-to-pay experience. The ideal candidate is a reliable people leader who uses business context and data to make decisions, advises stakeholders, and delivers measurable operational improvements. What You’ll Do Lead, coach, and develop AP and Expense team members. Manage team performance, staffing, workload allocation, and day-to-day execution. Build a high-performing team with clear expectations, strong accountability, and consistent results. Oversee invoice processing, purchase order matching, coding, approvals, payments, vendor inquiries, and employee expense operations. Ensure AP and Expense activities are completed accurately, on time, and in accordance with company policies and controls. Own balance sheet reconciliations, AP close activities, accrual support, aging reviews, and related reporting. Lead annual 1099 reporting and support other AP-related tax and compliance requirements. Serve as the primary AP contact for internal and external audits, ensuring requested documentation is accurate and complete. Monitor unmatched invoices, open purchase orders, payment exceptions, duplicate payments, credits, and other outstanding items. Identify inefficiencies across AP and Expenses and lead process improvements that increase accuracy, efficiency, and scalability; Drive automation and AI initiatives related to invoice processing, matching, approvals, reconciliations, exception hand

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 buying

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team The ChatGPT Space team is rethinking what work looks like when teams and agents can create together. We are building a shared workspace where a rough idea can become a polished, editable artifact, from Pages, Sheets, and Slides to entirely new kinds of work products. Our ambition is to build the best place for teams and agents to turn ideas into things they could not make alone. The work should keep evolving after the first draft, drawing on shared context, improving through collaboration, and staying current as a project moves forward. This is a high-agency team working across product, design, and research. We partner closely with model training teams to shape how frontier models create and edit artifacts, then bring those capabilities into a coherent experience across Pages, files, and tools. The work spans full-stack product engineering, editing and rendering systems, model integration, and collaboration, with a high bar for taste, correctness, and speed. About the Role As Engineering Manager, ChatGPT Space, you will lead and grow the product engineering team defining this experience. You will help shape both the product and the team that builds it, turning an ambitious, evolving vision into software people love to use. You will partner with product and design on what great collaboration between teams and agents should feel like, with research on what models can create, and with infrastructure and enterprise partners on a dependable experience at scale. This is a role for a leader who has built from zero to one and wants to help define a new category of work. You will bring the technical depth to guide hard decisions and the product judgment to know what is worth building, while developing engineers and giving them the clarity and autonomy to ship. This role is based in San Francisco. In this role, you will Lead, manage, and grow a product engineering team, creating clear ownership, supporting engineers’ development, and hiring exceptional people P

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. The team is distributed across Eastern Europe, LATAM and the US; this role works Eastern or Central time hours. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others, you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. This is a hands-on delivery role: the Product Manager owns strategy and roadmap; the Senior PO owns execution, stories, UAT and releases. We do not expect deep expertise in both domains on day one. We expect deep expertise in one and a track record of becoming credible in the other. Growth from this role is toward Staff PO, with broader value-stream ownership, not away from delivery. AI is part of how this role works, not an add-on: we expect you to use AI tools heavily and daily to reach a first version of almost everything faster, while the judgment stays with you. You validate what AI produces, and you are accountable for it. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours withou

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. The team is distributed across Eastern Europe, LATAM and North America; this role works Eastern or Central time hours. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others, you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. This is a hands-on delivery role: the Product Manager owns strategy and roadmap; the Senior PO owns execution, stories, UAT and releases. We do not expect deep expertise in both domains on day one. We expect deep expertise in one and a track record of becoming credible in the other. Growth from this role is toward Staff PO, with broader value-stream ownership, not away from delivery. AI is part of how this role works, not an add-on: we expect you to use AI tools heavily and daily to reach a first version of almost everything faster, while the judgment stays with you. You validate what AI produces, and you are accountable for it. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours

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 . Experience Level: 6–10 Years Domain: Product Security / AppSec / DevSecOps / AI Security / AI-First SDLC Role Summary We are looking for a hands-on Senior Staff Product Security Engineer to join and lead initiatives across our product security landscape. In this role, you will redefine modern Product Security by architecting an AI-first SDLC seamlessly integrating traditional AppSec with advanced AI security practices, automating shift-left pipelines, conducting rigorous threat models for core services and complex AI architectures, and leveraging cutting-edge AI tools to accelerate vulnerability remediation. You will partner directly with engineering leadership, Information Security, GRC, BuildOps, and DevOps teams to secure our SaaS products and safely enable cutting-edge agentic features. Role & Responsibilities AI-First SDLC & Shift-Left Automation: Architect and embed AI-driven security controls (SAST, DAST, SCA, Container, Secrets Detection) directly into CI/CD build pipelines and developer workflows, establishing an intelligent, highly automated AI-first SDLC. Operational & Strategic AI Security: Lev

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine . We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. Engin

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

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 We are on the lookout for a Director of Software Engineering to lead our Elasticsearch Distributed Systems organisation which focuses on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. As Director of Software Engineering, you will be leading an organisation of approximately 40 engineers and managers to tackle the deep distributed systems challenges that allow Elasticsearch to excel at scale. Your customers are every Elasticsearch user and each solution team which builds upon Elasticsearch. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. As a result, our team is diverse and distributed across continents. We collaborate every day over email, GitHub, Zoom, and Slack. The ability to lead a distributed team is critical. What You Will Be Doing Develop and execute a long-term engineering strategy for Elasticsearch's distributed systems, aligning technical priorities with product direction and business objectives. Drive improvements in performance, scalability, reliability and cost efficiency, including foundational capabilities supporting Serverless Elasticsearch. Lead the evolution of Elasticsearch's core distributed architecture, including cluster coordination, data allocation, indexing,

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. PagerDuty is seeking a Software Engineer to join our diverse and customer-focused team! You'll be working on our strategic integrations, which connect PagerDuty to the many tools our customers rely on. The work spans a wide range of technologies, including APIs, webhooks, OAuth, and SaaS platforms across multiple languages, and you'll help advance how we use AI as a core part of day-to-day engineering. Why we need you The PagerDuty Integrations Team is looking for a software engineer who's eager to learn new technologies. Our integrations connect PagerDuty to the wider set of tools our customers use every day, spanning many languages, platforms, and protocols. You'll help create the foundation for these systems by building highly available services, scalable databases, and secure APIs. You'll also help promote engineering excellence across our design, development, test, and release cycles, with AI as a core part of how you work. Key Responsibilities From day one, you'll be designing, coding, testing and shipping backend applications and microservices, APIs, webhooks, and front-end interfaces that ensure we deliver reliable, scalable integrations to our customers. You'll collaborate closely with engineers across teams. With 20,000+ global customer