Jobs at Writer

Build and deploy scalable AI applications, intelligent agents, and AI-powered features in production. Collaborate with research, data science, and product teams; evaluate emerging AI technologies; and promote responsible AI through bias detection, explainability, and safety alignment. The role requires production machine learning experience, strong Python and AI framework skills, cloud and MLOps experience, and expertise in deep learning, NLP, and large language models.

Design, build, and operate highly available infrastructure for an enterprise generative AI platform. Responsibilities include SRE, DevOps, platform engineering, Kubernetes and cloud infrastructure, Terraform or Pulumi automation, incident response, SLOs, observability, reliability improvements, and cross-functional system design. The role requires end-to-end ownership of production systems, automation using Python or Go, AI-assisted workflows, post-mortems, and strategic platform planning.

Develop and execute quality strategies for AI agents and LLM-powered applications. Build automated testing frameworks, integrate tests into CI/CD pipelines, validate AI model behavior, manage test data and mock services, monitor production quality, and lead defect analysis through resolution. Collaborate with product, machine learning, data science, and engineering teams to improve reliability, performance, and trustworthiness.

Drive enterprise sales for WRITER’s AI platform across large-company prospects. Responsibilities include qualifying inbound leads, generating outbound pipeline, guiding product trials, building business cases, developing executive champions, and navigating budgeting, legal, security, and procurement processes. The role also requires deep product expertise, customer relationship management, cross-functional collaboration, and sharing product insights to improve user education and activation.

Partner with enterprise customers to identify AI use cases, validate feasibility, and deliver tailored applications, templates, and integrations using WRITER’s platform, APIs, Knowledge Graph, and LLMs. Translate complex AI concepts into actionable recommendations, collaborate with Product and Engineering, improve technical integration processes, and drive customer adoption, value, and expansion.

Build and scale AI agent systems that autonomously execute workflows and integrate with enterprise data, services, vector databases, search systems, and external APIs. Develop backend infrastructure, high-throughput APIs, orchestration, memory, security, and asynchronous workflows. Ensure reliability through monitoring, observability, testing, CI/CD, and fault tolerance. Collaborate with product, research, data, and UX teams, contribute to architecture and code reviews, and develop frontend tooling for agent management.

Own customer activation and platform success for enterprise AI deployments. Build custom workflows, champion networks, training programs, workshops, dashboards, and communities that drive adoption and measurable business outcomes. Partner with transformation and curriculum teams, advise stakeholders and executives, refine enablement based on feedback and usage data, and scale customer AI programs across a portfolio.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling, secure architecture reviews, SAST/DAST and CI/CD security automation, code reviews, secure coding standards, penetration testing, vulnerability remediation, and protection of AI agents, data pipelines, and model training environments. The role also researches emerging LLM security threats and partners with engineering teams to embed scalable security controls.

Own customer activation and platform success by translating business use cases into AI workflows, adoption strategies, champion communities, workshops, training, and measurable outcomes. Build relationships with stakeholders and executive sponsors, connect usage to ROI, customize educational experiences, and continuously improve programs based on feedback and adoption data. The role is hybrid in London and may involve 25% domestic and international travel.

Provide Tier 2 technical support for enterprise B2B SaaS customers, owning complex production issues from triage through resolution. Debug Python and no-code agents, investigate platform problems using monitoring tools, collaborate with Product, Engineering, Customer Success, and Sales, and escalate deeper issues. Build automated diagnostic tools and scripts to improve support efficiency, communicate technical concepts clearly, gather product feedback, and help customers use WRITER’s AI platform effectively.

Build secure, scalable generative AI services, applications, APIs, microservices, and agentic workflows for enterprise customers. Own system architecture from proposal through deployment, develop React and TypeScript interfaces, and partner with DevOps on continuous deployment, monitoring, logging, performance, and security. Collaborate with product, data science, and engineering teams while mentoring peers and delivering resilient production software.

Lead high-impact AI product initiatives from discovery through launch, adoption, and iteration. Shape multi-quarter strategy and roadmaps, engage enterprise customers, define requirements with engineering and design, and align cross-functional stakeholders. Own success metrics, navigate technical tradeoffs involving LLMs, agents, data, and platform architecture, and mentor product managers. The role requires strategic judgment, technical credibility, customer empathy, and strong execution across ambiguous, multi-team problem spaces.