Content Management Sr Analyst Jobs

Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability. We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day. What You'll Do As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default. You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too. This is a role for someone who wants to work at the in

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Platform Hiring Team (PHT) is building a centralized, technology-enabled hiring engine for repeatable, high-volume roles across supported DoorDash, Deliveroo and Wolt businesses. You'll join Platform Hiring Operations, PHT's business-facing team. This team owns demand, market context, and pipeline health: translating business needs into hiring plans, keeping stakeholders ahead of risk, and clearing blockers before they reach the execution team. About the Role You'll own business readiness, attraction, and pipeline health for Courier hiring across the business, a new area for Platform Hiring. You'll translate business needs into hiring plans, validate demand against strategy and cost, coordinate Marketing and sourcing partners, activate roles when requirements are complete, and monitor progress against hiring dates. As the senior business-facing partner for Courier, you'll advise business leaders on hiring strategy, market conditions, timing, location, quality, and delivery trade-offs using funnel and talent-market evidence. When pipeline volume declines, you'll coordinate targeted sourcing interventions and ensure the execution team has sufficient pipeline. You'll proactively coordinate blockers across onboarding, background checks, traini

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea

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 Elastic Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

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 Elastic Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

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 Elastic Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

FEQ427R548 The Impact You Will Have The pace of Data and AI is outrunning how most teams enable their field. Databricks ships at the edge of innovation, new products, frontier AI, deeper alliances, faster than any seller can absorb. The problem? Innovation the field can't explain simply doesn't drive adoption. In this role, you'll build the strategy, plan, process, and engine that turn our fast-moving products and GTM alliances into enablement that drives revenue, making the complex simple. At Databricks, we're all builders. On the Global Sales Enablement team, partnering across Product, Marketing, GTM, Alliances, and the field, you'll put our newest products and partnerships into sellers' hands while they're still an edge over the competition. This is an individual-contributor role, you lead through cross-functional influence and what you build. What You'll Do Own the strategy, plan, process, and enablement engine, from onboarding through competitive readiness, over a 6 to 12 month horizon. Design the programs and sales plays that drive revenue, not just readiness: tie every motion to pipeline, consumption, and win rate, and choose the right motion for each goal. Turn our product priorities into field-ready enablement fast: positioning, demos, competitive readiness, and deal support, live within days of a launch. Enable the field to sell with and through our go-to-market partnerships and strategic alliances: co-sell plays, joint value props, and the partnership context that shapes a deal. Build and deliver at scale: AI pipelines, vibe coding, and automation for first drafts you curate for impact, plus the LMS and sales tooling to distribute, lift productivity, and track performance. Set the operating rhythm, cadence, metrics, and reviews, that others adopt, and keep a tight loop with the field and SMEs so friction and lost-deal patterns feed straight back into what you build. What Success Looks Like Within 6 to 12 months, the field is ready before every major launc

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Team: We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake. As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, a

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 looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. This is a location-specific role; candidates must be located within commuting distance of São Paulo, Brazil. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Creating long-term value for our users is central to Stripe’s mission. The Go-to-Market (GTM) Industries team helps enterprise users and Stripe grow by understanding the challenges businesses face in specific industries and identifying how Stripe can help solve them. We build Stripe’s expertise across key business verticals and develop the credibility and thought leadership needed to form relationships with industry leaders. In partnership with our GTM and Product teams, Industry Leads define relevant, value-focused solutions, support our users, and identify new sources of value for users and Stripe. Our team provides industry expertise across Stripe and supports enterprise business development. We partner with enterprise users and large software-as-a-service (SaaS) platforms to address business challenges and help them grow with Stripe. What you’ll do As a member of the Global GTM Industries team, the Global Industry Lead for Healthcare will shape Stripe’s growth strategy across the healthcare ecosystem, including providers, payers, digital health companies, pharmacies, and healthcare platforms. You’ll use your industry expertise to define and communicate the value of Stripe’s solutions in a healthcare context and build credibility with senior executives and leaders across the industry. You’ll partner with Sales, Marketing, Product Marketing, Partnerships, and Product teams to embed healthcare expertise across Stripe, support strategic deal

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue. If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you! Responsibilities: Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical aud

The Role Cash App reaches 59 million monthly active customers, and top-of-funnel growth is accelerating. We're looking for a Growth Manager to be the GM for activation and habituation. You'll own the goals for how customers find their first meaningful moment in Cash App and turn it into a lasting habit, and you'll decide how to hit them. This role blurs growth and product. You won't hand requirements off to someone else. On this team, you are the product owner for your growth levers. You'll set the strategy, own the roadmap and experiment backlog, and work directly with Engineering, ML, Design, and Analytics to ship. Every lever is on the table: onboarding flows, in-app surfaces and prompts, eligibility logic, incentive mechanics, notifications, and customer communications across push, email, SMS, and in-app. You'll pick the lever most likely to move the metric, run the experiment, and scale what works. You'll sit on the Cash App Engagement Marketing team, which gives you deep customer context, lifecycle craft, and a strong peer group. But this isn't a traditional marketing role. You'll be just as comfortable shipping a product change as you are writing and launching a message or building the model behind an upsell engine. People who thrive here have come from growth product, growth marketing, lifecycle, business operations, and consumer analytics. What they share is a drive to own outcomes, an experimentation reflex, and the ability to move between strategy and the details. What's Unique About This Role Scale. With 59M monthly actives and rapid top-of-funnel growth, your experiments read in days, not months, and your wins move numbers that matter. Real ownership. You own the goal and the levers. Your roadmap shapes what Cash App builds, not just what it sends. Every lever is fair game. Product changes, in-app experiences, incentives, and comms are all yours to test and combine. The AI frontier. You'll help define what growth looks like as decisioning becomes increa

Omada Health is on a mission to bend the curve of chronic disease. Job Overview: We are hiring a Staff Software Engineer to help expand Omada’s footprint in cardiometabolic care and physical activity. This is early-stage, high-ownership work: you’ll shape how we build new member- and care team-facing experiences in this space and set the technical foundation for where we take it next. You’ll operate primarily in the backend while bringing the adaptability to work across the stack when the problem calls for it. You should be comfortable learning new systems quickly, using modern engineering and AI-assisted tools thoughtfully, and making pragmatic technical choices in ambiguous spaces. You’ll own architecture end to end, set the quality bar, and help other engineers make better technical decisions while turning complex product opportunities into shipped, reliable systems. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. Above all, you are enthusiastic about providing the best possible care for our members. What you’ll be doing: Partner with product, clinical, and cross-functional teams to turn vision into shipped product. Own architecture and technical direction end to end for new member- and care team-facing experiences. Apply broad technical judgment across languages, frameworks, and systems, using modern engineering and AI-assisted tools to quickly build context, evaluate tradeoffs, and guide delivery. Set the quality bar: clean,

Become a part of our caring community Humana’s Product organization is seeking a Lead Product Manager to drive the strategy, development, and optimization of the Adobe Experience Platform (AEP) in support of Adobe Web Integrations for Authenticated and Unauthenticated Web Channels. In this role, you will serve as a key product leader responsible for translating business needs into platform capabilities that enable personalized, data-driven customer experiences. You’ll work closely with cross-functional teams to deliver scalable solutions across Real-Time CDP, Journey Optimizer, and Customer Journey Analytics. This role is focused on growing adoption and usage of Adobe Experience Platform as an enterprise platform while supporting and scaling capabilities to support Authenticated (MyH) and Unauthenticated ( H.com) driving dynamic, context-aware customer engagement on Web channels. Success in this role means partnering with key lines of business to translate requirements into detailed product features for engineering teams to enable, while building decisioning strategies that optimize customer outcomes and business value. Key Role Functions Product Strategy & Vision Collaboratively own and manage the product backlo

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Builder Experience Team makes it easier for Stripe’s product teams to build the right products, ship them with confidence, and help users realize value from them. In order to build a great product, product teams must develop a deep understanding of users, shape and test ideas, coordinate across functions, navigate launch requirements, identify risks, gather feedback, and manage products after launch. Today, many of these workflows are fragmented, manual, or built around processes and tools that predate recent advances in AI. We are a small, AI-native team reimagining how Stripe builds, ships, and ramps products. We experiment with new approaches across AI agents, automation, and process—and scale the ones that work. Our initial areas of focus include reinventing launch readiness from gates into guidelines, giving product teams richer and more timely context, and shortening the feedback loops between builders, users, Sales, and Support. Our users are Stripe’s product managers, engineers, designers, researchers – and we help to simplify the interactions with the cross-functional teams that help bring products to market. We work closely with teams including all of our business unit PMs, Product Operations, and Kai, Stripe’s internal AI platform. What you'll do We’re looking for product-minded engineers who want to rethink how products get built—not simply digitize existing processes. You’ll identify high-friction parts of Stripe’s product-d