Generalist Copywriter Jobs

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the rolex Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive – for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London h

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the rolex Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive – for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London h

About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Information Security Team We believe security isn't just a function—it's a platform for bold ideas. The Information Security Team at Mixpanel is a small, high-impact group committed to building a frictionless security program that serves as a model for our company and the broader industry. This is a team for those who are never satisfied, who dream big, and who have the resilience to see those ideas through. We operate at the intersection of business strategy and technical execution, where we are critical partners to every team at Mixpanel. Our work requires a broad, generalist skill set across vulnerability management, threat detection, and access management. We strategically balance necessary compliance work with proactive initiatives, with a constant focus on automation as the path to a more efficient security program. We use our expertise in a variety of well-known security platforms and tools to create seamless, automated processes that empower our peers. We are a lean team by design, and we succeed or fail together, committed to transparent communication and a strong sense of ownership. Responsibilities Domain Ownership: Serve as the domain expert for Detection & Response, integrating telemetry from across our entire ecosystem—including Product, Cloud, Corporate Infrastructure, and Identity—to build a unified, high-fidelity detection and response engine. Technical Project Execution: Translate high-level project requirements and technical scoping documents into actionable milestones, managing task delivery and driving cross-functional results. Architect Modern Detection: Design and imp

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, an

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets

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. About the role We're hiring a Software Engineer, Billing to evolve the systems that power how Cursor charges and reconciles revenue across millions of developers and enterprise teams. You will work across the billing stack — usage metering pipelines, subscription and entitlement systems, payment integrations, and the ledger layer — to make billing accurate, scalable, and transparent. This is a deeply technical IC role. It is not a finance ops role, and it is not a backend generalist role wearing a billing hat. What you’ll do Implement usage and billing systems changes end-to-end , from updates in the UI and raw usage events at the edge to invoiced amounts in Stripe, including the metering pipeline, aggregation logic, entitlement enforcement, and ledger. Evolve our ledger system that serves as the source of truth for customer balances, credits, overages, and adjustments — with the correctness guarantees that financial systems require. Integrate deeply with Stripe including subscriptions, usage records, invoices, webhooks, and edge cases like mid-cycle plan changes, prorations, and failed payment recovery. Build billing APIs and internal tooling that product, finance, and customer

About Pratham International Pratham International is a US 501(c)(3) nonprofit dedicated to supporting innovative learning solutions for children and youth worldwide. We facilitate the adaptation and expansion of proven, scalable educational models—originally developed in India by the Pratham Education Foundation—to diverse contexts across the Global South. By providing programming and technical assistance tailored to local realities, we ensure that effective learning practices can take root anywhere. Today, Pratham reaches approximately 7.5 million children annually across 23 Indian states and union territories and an additional 1 million across 31 countries. We focus on creating sustainable educational models designed for low-resource communities. Our approach emphasizes learning for school, work, and life, ensuring that youth are equipped with the foundational skills necessary for success. To support these goals, we develop and deploy accessible resources that address the specific linguistic and cultural needs of the regions we serve. Pratham International is committed to building long-term solutions and high-quality digital public goods. By gathering continuous feedback from the field and collaborating with global philanthropic partners, we work to ensure that every child, regardless of their geography, has the opportunity to be in school and learning well. Role Summary As a fast growing nonprofit in startup mode, we have openings rise on an ongoing basis. If you're a generalist or have specialist skills in areas beyond what's listed in current job postings, feel free to submit this application and we will reach out as and when suitable openings rise.

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! The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma. What you'll do at Figma: Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance Address common operational challenges through better telemetry and by building tools / services Debug production issues across services and levels of the stack Participate in design reviews and production reviews for new features, products or infrastructure components Plan for the growth of Figma’s infrastructure Operate and maintain AWS Infrastructure We’d love to hear from you if you have: Have 5+ years of experience operating infrastruct

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will: Drive in-depth quantitative analyses to inform our pricing and packaging strategy. Help spin up our deal desk and streamline enterprise deals. Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities. Implement new tools and processes to enable the GTM org to grow rapidly. Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan. Requirements: We are looking for someone who: Has 5+ years exp

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 We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in Type

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address secu

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 . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Role Description: This is a Generalist Senior Backend Engineer position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on: Microservices and APIs that power our advertiser-facing product, ads.reddit.com Distributed systems that ensure the right ad gets shown to the right user at the right time Backends that power interactive user experiences on our ads like Polls and Games Real time, data intensive systems that measure the performance of our ad campaigns Infrastructure that supports all of the above Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Baseplate, Kafka Datastores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Argo, Docker Responsibilities: Work with product managers to design and implement Ads products. Collaborate closely with the platform and data teams while building new features. Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations. Build extensible components that would align with the product objectives. Support day to day project management tasks including commun

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! The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma. 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: Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance Address common operational challenges through better telemetry and by building tools / services Debug production issues across services and levels of the stack Participate in design reviews and production reviews for new features, products or infrastructure components Plan for the growth of Figma’s infrastructure Operate and maintain AWS Infr

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 . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Role Description: This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on: Microservices and APIs that power our advertiser-facing product, ads.reddit.com Distributed systems that ensure the right ad gets shown to the right user at the right time Backends that power interactive user experiences on our ads like Polls and Games Real time, data intensive systems that measure the performance of our ad campaigns Infrastructure that supports all of the above Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Baseplate, Kafka Datastores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Argo, Docker Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while o