Content Writer Jobs

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 As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure Partner with engineers, teammates, and ot

About the Team The Sales Enablement team, under the Sales Strategy & Operations organization, enables the productivity of our sales and go-to-market organizations through alignment with capital OKRs and a 360-degree enablement strategy that encompasses activation across process, product, skill, GTM strategy and tooling. Through partnerships with Sales, Product, Marketing, and Operations, we design and deliver critical enablement programs that activate the business to drive sales performance and contribute to DoorDash’s overall success. About the Role As an Associate Manager of Sales Enablement focused on our Australia and New Zealand (ANZ) markets, you will play a critical role in localizing and executing global enablement initiatives. You will report directly to a Senior Manager on the Global Sales Enablement team and support ANZ leadership through a dotted-line relationship with the local Sales Strategy & Operations team. You’ll be responsible for activating onboarding, training, and go-to-market programs that support the full sales lifecycle for sellers in ANZ. You’ll coordinate closely with Sales, Marketing, Product, and RevOps teams to ensure that enablement strategies are tailored to the regional context and drive measurable outcomes. This is an exciting opportunity to help scale enablement across a high-growth region by aligning global frameworks with local needs and feedback.. This is a hybrid role with three days per week in the office (Melbourne or Sydney) and two days remote. You are excited about this opportunity because... Support the execution of onboarding, ongoing training, and product activation initiatives for DoorDash sales teams across Australia and New Zealand . Serve as a liaison between global enablement strategy and local sales execution, customizing programs for ANZ market needs. Partner cross-functionally with Sales, RevOps, Marketing, and Product teams to ensure readiness for product launches and sales plays. Help maintain an

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a Software Engineer, Enterprise Product, you’ll solve the hardest problems standing between Ramp and the world’s largest and most complex companies — shaping and shipping the product capabilities that unlock our growth upmarket. You'll be part of our Core FDE org, which is an agent-first, high-pace, customer-facing engineering team. On FDE, you will interact directly with customers and deliver solutions end to end — understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities. Check out our Engineering Blog and FDE post for more context on our work! What You’ll Do Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions. Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time. Drive the core product engineering roadmap through our embeddin

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliab

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. RESPONSIBILITIES: Scale synthetic coding data to trillions of tokens with large-scale docker verification. Distill the intelligence of flagship models into flash models through synthetic data generation. Optimize mid-training data mixtures to boost the ceiling for RL. Engineer long-context data recipes. Develop robust and diverse evaluation for mid-training checkpoints. BASIC QUALIFICATIONS: Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Not

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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to

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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Our company website is the centerpiece of our brand — the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support , requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We’re looking for a Senior Full Stack Engineer to join Team Web , who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You’ll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. See the teams most recent work here What will I be doing? Design, build, and maintain end-to-end web solutions — from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and conten

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that pus

About the Team The Technical Support Team at SevenRooms is part of DoorDash’s broader Customer Experience and Support Ops organization. We partner directly with hospitality operators around the world to deliver best-in-class customer support. Our mission is to ensure that when things go wrong—or when guidance is needed—there’s always someone knowledgeable, strategic, and empathetic ready to help. Whether it's troubleshooting technical issues, advising on product setup, or driving value from our platform, we work across chat, email, and phone to create seamless and impactful experiences. Ultimately, we’re here to ensure our merchants succeed while supporting a fast, reliable, and efficient support operation across a 24/7 model. Multiple Full-time Hourly Shifts Available. At least one weekend day availability is a must. About the Role In this role, you’ll work directly with hospitality operators across the globe to troubleshoot issues, instruct and teach product functionality, and strategize to maximize our customers’ Return of Investment. This role is imperative in advancing our mission to provide world class customer support to our clients. You’re excited about this opportunity because you will… Support Customers via Email, Phone and Chat. Promptly respond to customer inquiries through email and phone, resolving issues efficiently and with care. Provide Strategic Solutions. Help customers get the most out of the platform by delivering thoughtful, prescriptive setups tailored to their goals, showing both technical knowledge and strategic insight. Master the SevenRooms Platform . Build and maintain deep knowledge of the SevenRooms platform - both broadly and in the context of individual client needs. Document Resolutions . Record issue resolutions and steps taken, ensuring clear documentation across all client interactions. Prioritize with Impact in Mind. Evaluate and act on support requests based on the severity of customer impact, ensur

P-1440 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this pas

P-1441 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this pas

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Engineer At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Data Engineer II to join our team in Amsterdam. This role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems. What you’ll do Collaborative Solution Development : Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions. Quality Pipelines and Architecture : Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Data Best Practices : Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives. High Quality Data and Code: Ensure data is accurate, complete, re

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Engineer At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Senior Data Engineers in Amsterdam. We’re looking for engineers that understand the business context and the data needs behind it, and excel in implementing high-quality data pipelines on our Big Data Platform. As a Senior Data Engineer at Adyen, you will play a crucial role in shaping our data infrastructure and ensuring the seamless flow of data across various systems. What you’ll do Collaborative Solution Development : Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions. State-of-the-Art Pipelines and Architecture : Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures. Champion Data Best Practices : Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing.

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 Software Engineers at Palantir build software at scale to transform how organizations around the world use data. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham: products that are deployed at some of the most important institutions across the government, defense and non-profit sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds geospatial mapping tools for mission critical operations, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SW