Writer

Security engineer focused on detection and response for AI infrastructure, including AI-specific threats, automated response, and incident coordination across GPU clusters and training environments. The role involves building detection systems, automated response playbooks, and proactive threat hunting within a rapidly evolving AI security landscape.

Security engineer focused on detecting and responding to threats targeting AI infrastructure, training data, and model deployments. This role involves building sophisticated detection systems, automated response capabilities, and proactive threat hunting across GPU clusters and distributed training environments, with a focus on AI-specific attack vectors.

Security engineer focused on detection and response for AI infrastructure, including AI-specific threats like prompt injection and data poisoning. The role involves building automated response systems, leading incident response for AI infrastructure, proactive threat hunting across GPU clusters and training environments, and developing detection-as-code frameworks. It requires collaboration with AI Security research, Cloud Infrastructure, and AI researchers to protect the AI platform.

Security engineer focused on detecting and responding to threats targeting AI infrastructure, training data, and model deployments. This role involves building detection systems, automated response playbooks, leading incident response, proactive threat hunting across GPU clusters and training environments, and developing detection-as-code frameworks. It requires collaboration with AI Security research, Cloud Infrastructure, and Software Security Engineering teams to protect enterprise-grade AI platforms.

Software engineer role focused on building and scaling advanced AI-driven agent systems that execute autonomous workflows and orchestrate multi-step tasks for enterprise applications. Requires experience with agent frameworks, vector databases, and cloud platforms.

AI Engineer role focused on building and deploying scalable AI applications, intelligent agents, and AI-powered features for enterprise customers. The role involves collaborating with research and product teams, contributing to the evaluation of new AI technologies, and championing responsible AI practices. Requires 5+ years of experience in building and deploying ML/AI systems in production, proficiency in Python and ML frameworks, strong ML/DL/NLP foundations, and cloud/MLOps experience.

AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom AI solutions using WRITER's platform and LLMs, and drive customer adoption. This role involves translating technical concepts, providing customer feedback to product/engineering, and developing scalable processes for technical integrations.

Senior Software Engineer to build the secure, scalable foundation for enterprise generative AI solutions, focusing on integrating AI models and agentic workflows into their platform. The role involves designing and owning core platform components, developing secure generative AI services, and optimizing high-performance APIs for AI integration.

This role focuses on deploying and implementing AI-powered solutions for enterprise customers, leveraging the company's platform and LLMs. The engineer will partner with customers to identify use cases, architect custom applications, and ensure successful adoption, acting as a bridge between customer needs and internal product/engineering teams.

AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom solutions using WRITER's platform and LLMs, and drive customer adoption. Focuses on translating complex needs into tangible applications and providing customer feedback to influence product roadmap.

Software engineer to join an engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services.

Software engineer focused on building and optimizing generative AI services, applications, and agentic workflows for enterprise clients, leveraging LLMs and modern AI frameworks.

Software engineer focused on building and deploying generative AI services and applications, including agentic workflows and LLM integrations, for enterprise clients. The role involves developing scalable APIs, optimizing performance, and collaborating across teams to deliver AI solutions.

AI Engineer role focused on architecting, developing, and deploying high-performance, scalable AI applications, intelligent agents, and AI-powered features for enterprise clients. The role involves collaborating with research and product teams, contributing to the evaluation of emerging AI technologies, and championing responsible AI practices. Requires 5+ years of experience in building and deploying ML/AI systems, proficiency in Python and ML frameworks, and experience with cloud platforms and MLOps.

Security engineer focused on building security foundations for AI systems, including LLM architectures, AI agents, and training data pipelines. Responsibilities include threat modeling, secure architecture design, SAST/DAST scanning, security code reviews, and integrating AI agents for security team velocity. The role requires securing customer-facing AI agents and staying ahead of AI/ML security threats.

Security engineer focused on securing enterprise AI platforms, including LLM architectures, AI agents, training data pipelines, and customer-facing AI agents. Responsibilities include threat modeling, SAST/DAST scanning, security code reviews, secure coding standards, penetration testing, and designing security controls for AI infrastructure. The role emphasizes integrating AI agents to improve security team velocity and staying ahead of emerging AI/ML security threats.

This role focuses on deploying and implementing AI-powered solutions for enterprise customers, leveraging the company's platform and LLMs. The engineer will partner with customers to identify use cases, architect custom applications, and drive adoption, acting as a bridge between customer needs and the company's AI capabilities.

AI Deployment Engineer role focused on partnering with enterprise customers to architect and implement AI-powered solutions using WRITER's platform and LLMs. The role involves identifying use cases, delivering custom applications, translating technical concepts, and driving customer adoption to solve complex business challenges.

Solutions Architect for an enterprise generative AI platform, focusing on designing and building AI-powered work solutions for large prospects and customers. The role involves technical discovery, architecting solutions using the company's platform and APIs, leading PoCs, and advising C-suite executives on generative AI strategy.

The Senior Manager, Solutions Architecture will lead a team of solutions architects to help enterprise customers adopt and deploy WRITER's generative AI platform. This role involves pre-sales technical engagements, strategic account planning, executive sponsorship, and influencing the product roadmap. The manager will also architect AI solutions and transform evaluation processes.

Solutions Architect role focused on designing and implementing generative AI solutions for enterprise clients using WRITER's platform and LLMs. This involves technical discovery, building PoCs, and acting as a trusted advisor to C-suite executives, with a focus on scaling AI adoption and providing customer feedback to product teams.

Security engineer focused on protecting enterprise AI platforms, including LLM architectures, AI agents, training data pipelines, and inference services. Responsibilities include threat modeling, security code reviews, building automated security controls, and leading security assessments. The role emphasizes integrating security into the development lifecycle and leveraging AI agents for security team velocity.

Infrastructure engineer responsible for the availability, performance, and reliability of a large-scale enterprise generative AI platform. Focuses on automating operational tasks, designing scalable cloud infrastructure, owning core service reliability, and leading incident response.

Infrastructure engineer role focused on building and operating scalable, fault-tolerant AI infrastructure on public cloud providers (AWS, GCP, Azure) to support a high-traffic AI platform. Responsibilities include owning reliability, performance, efficiency, observability, and incident response for core services, and collaborating with product and engineering teams on system design.

Site Reliability Engineer at an enterprise generative AI company, focusing on the availability, performance, and reliability of the core AI platform. Responsibilities include automating operational tasks, designing scalable infrastructure, owning SLOs, managing the observability stack, leading incident response, and collaborating with product/engineering teams on system design for reliability.

VP, Customer Success for EMEA at an enterprise AI company focused on AI agents and LLMs. The role involves leading the customer success organization, driving retention and growth, scaling a team, and partnering with C-suite executives at Fortune 500/Global 2000 companies to deliver operational transformation. This is a strategic and hands-on operator role focused on customer adoption and success with AI products.

Solutions Architect (pre-sales) for an enterprise generative AI platform, focusing on understanding customer needs, architecting AI solutions using the platform and APIs, and leading PoCs to drive adoption and business value.

Strategic Account Executive for an AI agent platform company, focusing on selling to global enterprises. The role involves owning the full sales cycle, driving net-new revenue, engaging C-level executives, and becoming a trusted product expert to demonstrate value and accelerate deployment. Requires extensive experience in strategic SaaS sales, complex enterprise sales cycles, and consultative selling.

Strategic Account Executive for an enterprise AI agent platform, focusing on driving net-new revenue and managing the full sales cycle for global enterprises. Responsibilities include prospecting, qualifying, partnering cross-functionally, guiding executive discussions, and owning a book of business. Requires 5-8+ years of strategic SaaS sales experience, a track record of exceeding quotas, and strong consultative selling and presentation skills.

This role is for an Enterprise Sales Development Representative at WRITER, a company that provides an AI platform for enterprises to build and deploy AI agents. The role focuses on building sales pipeline by engaging with senior decision-makers in strategic accounts, qualifying opportunities, and booking meetings for account executives. It requires experience in B2B AI or SaaS sales development and the ability to use AI tools in the sales process.

Senior Product Marketing Manager for Writer's enterprise AI platform and LLMs, focusing on IT-facing products. Responsibilities include owning go-to-market strategy, developing sales enablement assets, translating complex platform capabilities into clear messaging for IT leaders and CISOs, and building narratives around security and compliance for regulated industries. Requires experience in B2B SaaS platform/infrastructure/security product marketing and familiarity with enterprise IT buyer dynamics.

This role is for a Strategic AI Transformation Lead at Writer, a company focused on enterprise generative AI. The lead will partner with Fortune 100 accounts to drive AI adoption, rethink business operations, and realize P&L impact. The role involves building C-suite relationships, orchestrating cross-functional programs, and scaling transformation best practices. It is a strategic, customer-facing role focused on the business application and value realization of AI, rather than direct AI model development or engineering.

This role leads enterprise AI transformation for Fortune 100 accounts, partnering with C-suite executives to drive AI adoption and realize P&L impact. It involves strategic account management, change management, and orchestrating cross-functional programs to move customers from AI experimentation to full-scale value realization.

This role is for a Strategic AI Transformation Lead at Writer, a company providing an enterprise AI platform for building and deploying AI agents. The lead will partner with Fortune 100 accounts to drive AI adoption, rethink business operations, and realize P&L impact. The role involves C-suite relationship management, orchestrating cross-functional programs, and scaling transformation best practices. It focuses on moving customers from AI experimentation to value realization.

This role is for a Strategic AI Transformation Lead at Writer, a company providing an enterprise generative AI platform. The lead will partner with Fortune 100 accounts to drive AI adoption, rethink business operations, and realize P&L impact. The role involves building C-suite relationships, orchestrating cross-functional programs, and scaling transformation best practices. It is focused on the customer-facing product adoption and value realization of AI solutions.

This role is for an Enterprise AI Transformation Lead who will partner with Fortune 100 accounts to drive AI adoption and value realization. The role focuses on translating the WRITER platform's capabilities into measurable P&L impact and helping executives shift to an AI-first operating model. It involves building C-suite relationships, orchestrating cross-functional programs, and scaling transformation best practices.

This role is for a Strategic AI Adoption Lead at Writer, a company focused on enterprise generative AI. The role involves owning the deployment and activation success of AI platforms for a customer portfolio. The candidate will embed into customer organizations, understand their business objectives, and build programs and frameworks to drive measurable outcomes from AI investments. This includes partnering with transformation leads, designing and executing adoption strategies, building champion networks, running workshops, and advising on scaling AI programs. The ideal candidate has a builder's mindset for customer success and experience in AI & technical proficiency, facilitation, and collaboration.

This role is for an Enterprise AI Adoption Lead focused on customer success, deployment, and activation of AI solutions within enterprise organizations. The lead will understand customer objectives, build programs and communities, and drive adoption of AI agents and LLMs, translating AI investment into measurable outcomes. The role requires a builder's mindset for customer success, partnering with customers to design and execute strategies for scaling AI programs.

This role is for a Strategic AI Adoption Lead at Writer, a company focused on enterprise generative AI. The primary responsibility is customer success, focusing on deployment, activation, and driving measurable outcomes through AI adoption. The role involves understanding customer use cases, building custom AI solutions, designing activation strategies, and leading educational workshops. While the company builds AI agents and LLMs, this specific role is customer-facing and focused on adoption, not direct AI model development or research.

This role is for a Staff Site Reliability Engineer at WRITER, a company focused on enterprise generative AI. The engineer will be responsible for ensuring the availability, performance, and reliability of WRITER's AI platform. This involves using and building AI-native approaches for operational tasks, designing scalable infrastructure on public cloud providers, owning the observability stack, leading incident response, and collaborating with product and engineering teams. The role requires extensive experience in SRE/DevOps, cloud platforms, containerization, IaC, and programming languages like Python, Go, or Java.

This role is for a Strategic AI Adoption Lead at Writer, a company that provides an enterprise generative AI platform. The role focuses on customer success, owning deployment and activation for a portfolio of customers. The lead will embed with customers to understand their business objectives, build programs and communities to drive AI adoption, and translate use cases into measurable business impact. This is a customer-facing role that requires a builder's mindset to create conditions for customer engagement and success with AI solutions.

This role is for an Enterprise AI Adoption Lead at Writer, a company specializing in enterprise generative AI platforms. The role focuses on customer success, driving platform adoption, and building AI programs within customer organizations. It involves understanding customer use cases, designing activation strategies, leading workshops, and building communities to ensure customers achieve measurable business outcomes with AI.

This role focuses on customer success and adoption of an enterprise generative AI platform. The lead will work with customers to understand their use cases, build custom AI solutions, and design strategies to drive platform adoption and measurable business outcomes. This involves building champion networks, running workshops, and advising customers on scaling their AI programs. The role requires strong customer success and AI/technical proficiency, with a builder's mindset for customer engagement.

This role focuses on driving the adoption and activation of an enterprise AI platform within customer organizations. The lead will understand customer use cases, build custom AI solutions, design activation strategies, and lead workshops to ensure measurable business impact and platform adoption. It's a customer-facing role focused on enabling customers to leverage AI effectively.

This role is for an Enterprise AI Adoption Lead at Writer, a company focused on enterprise generative AI. The primary responsibility is customer success, focusing on deployment and activation of AI solutions within customer organizations. The role involves understanding customer objectives, building programs and communities to drive adoption, and partnering with customers to translate AI investment into measurable outcomes. It requires a builder's mindset for customer success and involves designing and executing strategies for platform adoption and business impact.

Strategic Account Executive for an enterprise generative AI platform, focusing on driving net-new revenue and managing the full sales cycle for large global enterprises. The role involves prospecting, qualifying, developing opportunities, and guiding executive-level discussions to help clients deploy AI at scale.

Writer is seeking a Senior Brand Designer to evolve its brand design system and create compelling visual assets for its AI-powered enterprise platform. The role involves building scalable operations, managing projects, and ensuring brand consistency across all touchpoints, translating complex AI concepts into accessible visual stories.

This role is an Enterprise AI Transformation Lead responsible for partnering with Fortune 100 accounts to drive AI adoption and realize business value. The role focuses on strategic transformation, C-suite relationship building, and orchestrating complex programs to move customers from AI experimentation to full-scale value realization. It involves defining vision, leading value initiatives, and scaling best practices.

Strategic Account Executive for an enterprise generative AI platform, focusing on selling AI agent solutions to global enterprises. The role involves managing complex sales cycles, building relationships with C-level executives, and driving net-new revenue by positioning the company's AI platform to achieve business transformation goals.

Strategic Account Executive role at WRITER, an enterprise generative AI company. The role focuses on driving net-new revenue by managing the full sales cycle for WRITER's AI agent platform, prospecting, qualifying, and developing new strategic opportunities. This involves partnering cross-functionally, guiding executive-level discussions, owning a book of business, collaborating with product and customer success, and becoming a product expert.