Content Management Sr Analyst Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a rock star leader for our ES AI team. This team plays a crucial part in transforming how the Snowflake product is developed, evaluated and supported. The job is no less than building the ecosystem that powers our AI-pilled engineers and our agentic organizations and reinvents the SDLC for Snowflake. As the manager for this growing team, you will lead the group of engineers working to reinvent how code is written, reviewed and runs in production to usher scale and velocity for the AI era. With context as the new source code, you will make it possible for every engineer at Snowflake to deliver through intent and direction. In this role, you will: Lead, coach, and grow the while creating a high-energy, cohesive environment with strong planning, ownership, and career development. Deliver the vision and roadmap for transforming the SDLC for all Snowflake engineers. Drive measurable improvements in code review latency, ensure Snowflake developers can use the latest harnesses and models, and create the golden paths that agentic codebases are built upon. Act as an agent of clarity in a space that is moving fast, making high quality decisions quickly by keeping up with the latest developments in the industry. Own operational excellence for the area, including on-call

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are looking for a Head of AI Native Operations to build the autonomous systems that run Supabase. Supabase is building an AI-native internal operating system, where agents carry the operational load end to end. We are standing up a new central team to build that platform and run it in production. This is the role that leads it, and it is hands-on. You design the architecture, build the first versions of the critical pieces, and are accountable for whether every agent we run is correct, safe, and improving over time. We build rather than buy, and there are no settled best practices for most of this yet, so you will be setting them. You will lead a team of senior individual contributors extending the platform and driving adoption across teams. What You’ll Be Responsible For In this role, you’ll: Own the agent platform architecture: The harness and orchestration layer and connectors into company systems, shared context and memory, and the path from prototype to production. Catch regressions before they ship: Model, prompt, and tool changes can’t ship until they pass the evals. When a new model comes out, you know within hours whether to adopt it. Make every agent observable: Every run and every decision is traced. For any agent at any time, you can answer what it did, why, what it cost, and how its quality is trending. Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses. Replace workflows, don’t assist them: Pick the workflows agents can fully own today and take them to production. Turn wins into a platform: Package w

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We're looking for a strategic, execution-oriented marketing leader to step into a 12-month fixed-term maternity cover as Manager, Field Marketing EMEA South & META. In this role, you'll lead a team of seven people across four countries — Spain, Italy, Israel, and the UAE — driving demand generation, pipeline impact, and customer engagement programmes that directly support Snowflake's growth in two of EMEA's fastest-moving sub-regions. You'll manage five Senior Field Marketing Managers and two Field Marketing Specialists, working in close alignment with two Regional Vice Presidents (South EMEA & META) and their sales organisations. You'll also collaborate day-to-day with EMEA Strategic Events, Product Marketing (PMM), Growth Marketing, Partner Marketing, and other marketing functions to ensure your team's programmes are tightly integrated with the broader EMEA go-to-market strategy. This is a hands-on leadership role. You'll be accountable for team performance and development, the quality and cadence of regional field marketing programmes, and the commercial outcomes those programmes deliver — all within the context of stepping into an established, high-performing team mid-flight. What You'll Do Own regional field marketing strategy for South EMEA & META: Oversee

About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. About the Role We’re looking for an Integrated Marketing Manager to help translate our products, their value propositions, and our broader brand strategy into audience-specific, globally relevant marketing programs. You’ll shape how people discover, understand, adopt, and engage with our products across markets and stages of the customer journey. You’ll connect product narratives, audience insight, cultural context, and business goals into strategies that make advanced technology feel clear, useful, and human. This is a high-impact individual contributor role for a marketer who understands how product marketing, brand strategy, audience research, and international growth work together. You’ll develop segmentation frameworks, lifecycle and go-to-market programs, regional insights, and partnership opportunities; then work across product marketing, growth, creative, partnerships, analytics, and regional teams to bring them to life. Your work will connect launches, product education, customer engagement, and ongoing storytelling into a coherent journey from awareness to advocacy. To us, creativity is a team sport. Ideas get better when you talk them through and build on each other’s thinking. We value curiosity over certa

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - AI & Agentic Architecture This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE. What you'll do: Agentic & AI Engineering Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity Configure and extend Codex/Claude Code for team-wide use: AGENT

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Communications, Brand, and Marketing teams shape how people inside the company and around the world understand AI, its risks, and its benefits. They move fast, often through moments that make headlines. We're looking for a recruiting leader to run the team that hires for them. In this role you will lead a team of experienced recruiters and be the main recruiting partner to the leaders of these functions and their operations partners. The team is seasoned, and each recruiter brings deep context on the business. From day one you have two first priorities: the team you manage and the leaders you support. You might spend one hour coaching a recruiter through a hard search and the next working with a senior leader on how their organization needs to grow. Key responsibilities Lead, coach, and retain a team of senior recruiters, with a focus on fast and timely feedback Build deep trust with the leaders of Communications, Brand, and Marketing. Learn what they need, raise hiring risks early, and push back when the plan and the market don't match. Run a tight operation. Own headcount plans, pipeline data, and reporting, and keep them accurate enough that leaders and operations partners can plan from them. Use data to show where each search stands, where it is stuck, and what it will take to close. Work with the operations partners for these teams on headcount, planning, and priorities, and treat them as true partners. Set one consistent process across the team: how a search runs, how interviews are structured, how data stays clean, and how recruiters use our systems and Claude workflows. Hire recruiters onto your own

About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and deliver full-stack web applications and integrations that support go to market workflows Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: 5+ years of professional software engineering experience, excluding internships, on product-driven teams. Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. About OpenAI OpenAI is an AI research and deplo

**If you’re interested in joining the Druva family in a future Sales Development Representative role in Santa Clara, please join our talent community. Submit your resume below, and a recruiter will review and reach out when we have an opportunity arise that matches your skillset & interests. This post is not in reference to a currently open position, but rather in anticipation of future business need.** 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 . What we would be looking for in the future when a Sales Development Representative position opens up: The Role & The Team: This is an opportunity to be an influential member of a high performing sales team at a fast-growing SaaS company. As an SDR you’ll work closely with our sales and marketing teams to drive new business by evangelizing Druva’s technology to prospective customers. You will be responsible for making outbound calls to target prospective accounts and generating qualified business opportunities. ** This is a hybrid role based in Santa Clara, CA with office days Tuesday-Thursday. What You Will Be Doing: Generate new sales leads through a mixture of outbound phone and email prospecting, follow

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 Sentry is looking for a Manager, Design Engineering to lead the team behind Scraps, our design system. This role would manage a team of designers and front-end engineers that is building the infrastructure that powers our UI development. This role lives at the intersection of design, engineering and AI tooling. The ideal candidate is comfortable reviewing a component's API in a pull request, can critique the consistency of typography across components, and has created skills to help agents use a design system more effectively. This role will set the direction for our system, grow the team, and stay close enough to the work to make design and implementation decisions. In this role you will Manage and grow a team of engineers and designers — hiring, leveling, and coaching across both crafts Own the strategic roadmap for the team: what components to prioritize, what tools to adopt, which parts of the web app to refactor, etc. Help maintain the UI quality and expression that Sentry is known for Keep design and code in sync — tokens, variables, component parity, and the pipeline from Figma to production Stay hands-on building components and the infrastructure to enable fast, accurate agentic front-end development and prototyping Drive adoption across product teams through documentation, lint rules, and contribution workflows that don't slow anyone down You'll love this job if you Consider yourself a design engineer, or a designer who codes Are passionate about design systems as the context layer for agentic frontend development, and want to build tools and skills that enable product teams to ship faster Nerd out ov

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

About the Team The Global Safety and Security team advances DoorDash through the protection of people, property, operations, brand, and reputation. We deliver value through agility, technology, and a people-first mindset—creating environments where employees and guests feel safe, welcome, and confident. As DoorDash continues to evolve its workplace experience globally, our Corporate Safety and Security team is reimagining how physical security integrates seamlessly into every employee and guest interaction. The Associate, GOC Analyst will play a key role in designing and delivering this next-generation security experience. About the Role We are hiring a GOC Analyst to support DoorDash’s 24/7 Global Operations Center. Reporting to the GOC Manager, this role is responsible for real-time monitoring, incident triage, and operational response to protect DoorDash’s people, assets, and operations. As a frontline operator, you will serve as the first line of defense during emerging incidents—monitoring systems, assessing risk, executing SOPs, and escalating issues quickly and accurately. In addition to core operational response, you will apply foundational analytical skills to validate information, distinguish signal from noise, provide clear operational context that supports timely escalation and informed decision-making. You’ll operate in a high-tempo, follow-the-sun environment where clarity, discipline, and sound judgment are critical to maintaining operational resilience. You are excited about this opportunity because you will… Operate the GOC in Real Time: Monitor dashboards, alerts, inbound reports, and open-source signals to identify security, safety, and operational incidents as they emerge. Execute Incident Response with Precision: Triage incidents, follow established SOPs, and support incident command activities through accurate documentation, coordination, and information validation. Maintain Situational Awareness: Track ongoing incidents, relevant global events

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historical data to set prices for every single ride at Lyft while balancing prices and ETAs to better serve our riders’ needs. We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers. Responsibilities: Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes Develop and fit statistical, machine learning, or optimization models Write production code; collaborate with Software Engineers to ship models to production Design and implement both simulated and live experiments Analyze experimental and observational data; facilitate launch decisions Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership Experience: Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields M.S. or Ph.D. in Computer Science, Economics, Statis

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Location: This role supports the South England region. Candidates should be located within the territory or be willing to travel extensively throughout South England to support customers, partners, and business objectives. We are seeking a Solution Engineer for a role that typically offers 70% remote work within your designated regional country, supporting both sales and channel technical activities, with the potential for up to 30% travel. This position is ideal for a self-starter who is passionate about technology, enjoys enabling teams, and excels at connecting with individuals to address their needs. The successful candidate will possess proven hands-on experience with cybersecurity products, along with outstanding communication and presentation skills. This opportunity is well-suited for individuals with a track record in Pre-Sales, Support, or Professional Services within a Vendor, Channel, Customer, or Distribution context, who are eager to engage in a balanced mix of channel and technical sales activities while fostering trusted relationships with partners. Key Responsibilities: Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training