Content Management Specialist Jobs

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are looking for a visionary, customer-obsessed and technology-focused product lead with expertise in mobile app development. In this role, you will be instrumental in shaping the future of CLEAR’s mobile app experience, delivering impactful solutions that drive user satisfaction and business growth moving CLEAR’s mobile app from a collection of features into an intelligent, trusted travel companion that helps members prepare, navigate, and recover throughout their journey. You will build a mobile App experience that is the most helpful digital layer of the travel day and be accountable to driving adoption. You will connect CLEAR’s identity capabilities, real-time travel context, airport operations, member relationships, and partner-enabled services into experiences that are personalized, proactive, and genuinely useful before, during, and after travel. This includes helping members understand airport conditions, find the right path through the airport, discover food and lounge options, and access relevant CLEAR and partner services in the moments that matter. What you'll do: Establish CLEAR’s Mobile app strategic vision and product roadmap in alignment with enterprise goals and user needs, converting a multi-year vision into prioritized product investments, structured sequencing, and core metrics like member retention and app engagement. Transform the app into an intelligent travel companion that guides members through preparation, real-time navigation, food ordering, lounge discovery and access, and any disruptions. Collaborat

Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days. 2. Sell AI into the account. Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI. Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving. You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, an

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data f

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data founda

About the Team DoorDash Commerce Platform is our restaurant software business, offering products such as online ordering, branded mobile apps, and loyalty solutions that help merchants grow through their own first party channels. Within this organization, the Merchant Success Operations team ensures restaurants have a smooth onboarding and launch experience and ongoing operational support. The Online Ordering Support team plays a key role in this mission by helping restaurants operate their digital ordering experience day to day. We resolve issues quickly, strengthen operational standards, and improve how merchants experience our product. About the Role The Support Specialist is a frontline role supporting our Online Ordering product, specifically our Enterprise partners. Our customers are merchants, primarily restaurants, who rely on our platform to power their digital ordering experience. This role is responsible for resolving issues efficiently, maintaining high quality support interactions, and ensuring a reliable day to day experience for our merchants. You will manage support tickets across channels, troubleshoot issues end to end, and partner with internal teams to drive resolution when needed. Your work will directly impact merchant success and operational performance. You will be part of a team that is continuously improving how support operates. You will help maintain quality standards, follow established workflows, and identify opportunities to improve documentation and processes based on recurring issues. You will report into the Senior Support Supervisor within the Merchant Success Operations team. You’re excited about this opportunity because you will… Manage inbound support tickets across channels including chat, email, phone, and SMS Troubleshoot and resolve customer issues end to end with clear communication and follow up Escalate complex or high impact issues with complete context and proper documentation Deliver high quality, empathetic, and effic

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description The Ads Creative & Recommendations team makes it easier for advertisers to maximize performance on Reddit through relevant creative and actionable recommendations. We own the advertiser-facing workflows where creative, recommendations, and campaign creation come together. Our goal is to reduce blank-canvas work and help advertisers move from an idea to an effective campaign with less friction. We build unified experiences that give advertisers useful context, evidence-backed guidance, and the ability to refine the system’s suggestions. Role Description We’re looking for a senior frontend engineer with deep JavaScript, TypeScript, and React experience to help shape the next generation of Reddit’s advertiser tools. You’ll independently own complex and sometimes ambiguous areas of the product, from technical design through launch and iteration. You’ll work closely with product, design, data science, machine learning, and backend engineering to turn sophisticated capabilities into workflows that feel simple and dependable. This role is a strong fit for someone who cares about both the architecture behind a frontend system and the details that make a product intuitive, fast, accessible, and maintainable. Responsibilities Own the technical design and delivery of complex frontend features across Ads Manager’s creative and recommendation workflows. Translate AI-backed capabilities into interfaces that advertisers can understand, steer, and refine. Partner with product and design to work through ambiguous re

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Engineer in our Industry ISV Practice, you will work directly with independent software vendors (ISVs) and their engineering organizations to build MongoDB capabilities into their products. You will work in the partner’s codebase, languages, engineering practices, and release process to deliver production-ready integrations, migrations, and product capabilities. The solutions you help build should leave the partner with maintainable code and knowledge, while creating reusable patterns that can accelerate future partner engagements. This is a hands-on application engineering role. You will spend time understanding existing products built on relational databases, designing practical MongoDB approaches, writing production code, and working alongside partner engineers through implementation and rollout. The role requires regular travel and time on-site with ISV partners during key phases of the engagement. Learn more about #LifeAtMongoDB here ! This role will be based remotely in Toronto. What you’ll do at MongoDB In this role, you will: Embed with ISV engineering teams, adapting to their codebase, practices, release cadence, and constraints while understanding their product architecture, industry context, data model, and deployment environment Design and build MongoDB-backed product capabilities, including integrations, data models, indexes, queries, persistence layers, migration tooling, and support for MongoDB alongside relational database editions Design and implement coexistence and migration solu

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Portal, part of Roblox’s Engine Productivity team, builds productivity tools for the hundreds of engineers developing Roblox’s game engine, desktop clients, apps, and Roblox Studio. As a Senior Software Engineer, you will build the systems that bring AI agents into engine development workflows. On a small team with broad reach, you will help decide where AI can meaningfully improve engineering productivity and take solutions from early experiments to reliable tools engineers use every day. You will: Own improvements to developer workflows, from identifying problems with engineers to designing and shipping productivity tools and measuring their impact. Build AI agent sandboxes and harnesses written in C and Rust, along with the integrations and context agents needed to work effectively in Roblox’s C++ game engine codebase. Partner with technical leaders across Roblox’s Engine and Infrastructure groups to deliver reliable tools and improve the daily experience of engineering at Roblox. You have: 5+ years of software engineering experience working on projects from 0 to 1. Experience owning substantial parts of a developer tool or system through design, launch, and ongoing operation. Systems pr

Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. InMobi InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Overview of the Role: Search changed how we found information. Social changed how we discovered. Intelligent agents are the next shift...and perhaps the biggest one yet. Instead of searching for products, consumers will have an intelligent shopping agent that understands their taste, their context, and what they're in the mood for. It won't just recommend products — it will show them on you, in your home, and in your life, before y

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 Opinion department is seeking a sophisticated editorial leader to spearhead our coverage of one of the most consequential shifts of our time: the rise of artificial intelligence. This role is designed for an editor with a deep background in intellectual history, policy and narrative journalism — someone capable of moving beyond the daily news cycle to deliver definitive enterprise work that explains how AI is reshaping society, labor and the human experience. The ideal candidate will combine the intellectual rigor of a long-form editor with the tactical agility required to edit and manage high-profile columnists and drive a department-wide coverage strategy. This is an in-office position, based in New York City and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities: Develop and coordinate Opinion's cross-platform strategy for AI coverage, identifying the most urgent moral, political and economic questions raised by emerging technologies Commission and edit ambitious enterprise projects, deep-dive features and essays that provide historical context and forward-looking analysis of the AI revolution Collaborate with graphics, multimedia and audience teams to create innovative digital presentations for complex technical and philosophical topics Manage and edit a portfolio of New York Times columnists and contributing wri

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 Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje Our Solutions We are building vertical AI agents that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Our vision is driving payments for our customers by hyper personalizing consumer treatments using AI. Our solutions automate lending operations for consumer finance companies across the lending value chain. Ab

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role A Data Solutions Consultant is responsible for integrating clients’ portfolio data into Addepar and consulting clients on their most complex data challenges. As a Data Solutions Consultant, you will be responsible for executing on client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have exceptional analytical and communication skills, thrive in a fast-paced environment, and bring a solutions-oriented approach to all problems they encounter. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Translate unique client requirements into flexible and scalable data solutions Lead data conversion projects with Addepar clients to ETL historical portfolio data from their legacy system into Addepar Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve our current processes and tool

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 Palantir's defense product vertical builds mission-critical products for the modern warfighter. We provide a complete ecosystem where customers can securely integrate and visualize their data, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to perform rich analyses that drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. This is a frontend engineering role focused on application development for our defense product offering, where you will be responsible for crafting the applications that organizations use every day to keep their countries safe. You will be architecting and developing interfaces to make sophisticated, data-intensive workflows both powerful and approachable, including to non-technical users. You may spend one day talking to users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself putting that customer context to use and brainstorming how to handle intricate UX needs with your teammates. You’ll regularly face sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, and work with backend engineers in developing them together. You’ll be constantly exploring new horizons and building new skills in service of real world needs: between type theor