Jobs at Writer

Negotiate commercial contracts, including SaaS licenses, partnership agreements, data processing agreements, and supplier contracts. Develop contract templates and negotiation playbooks, improve sales contracting processes, advise and train go-to-market teams, and build scalable legal operations. The role partners closely with sales, procurement, and sales operations while supporting enterprise customers and strategic partners in regulated industries.

Drive net-new enterprise SaaS revenue through prospecting, consultative selling, executive engagement, full-cycle sales, and contract negotiation. Manage a target account book, maintain accurate pipeline forecasts, tailor AI platform solutions with cross-functional teams, and support customer deployments. Serve as a trusted product expert while consistently meeting or exceeding annual sales quotas.

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

Own customer activation and platform success across a portfolio by translating business objectives into AI workflows, adoption strategies, champion programs, dashboards, workshops, and training. Build stakeholder and power-user communities, deliver customized educational experiences, connect usage to measurable outcomes and ROI, and continuously improve enablement through feedback and adoption data. Partner with transformation and curriculum teams while advising customers on scaling AI programs.

Build AI-specific threat detections, automated response playbooks, and detection-as-code frameworks for WRITER’s AI infrastructure. Lead incident response, forensic investigations, and proactive threat hunting across GPU clusters, training pipelines, inference endpoints, and distributed environments. Collaborate with cloud, application security, software security, and AI research teams while maintaining an on-call rotation and improving security automation and coverage.

Build and scale AI-driven agent systems that autonomously execute workflows and integrate with enterprise data and services. Responsibilities include developing agent infrastructure, APIs, memory, orchestration, security, state management, and asynchronous workflows; integrating vector databases, search systems, and external APIs; improving reliability and observability; and contributing to architecture, testing, CI/CD, and code reviews. The role also involves collaboration across product, research, data, and UX teams, with some frontend development for agent management tools.

Negotiate SaaS licensing, partnership, data processing, supplier, and other commercial agreements. Develop contract templates and negotiation playbooks, improve sales contracting processes, advise and train go-to-market teams, and create scalable legal operations. Partner closely with sales, procurement, and sales operations while supporting enterprise customers and strategic partners in regulated industries.

Own customer activation and deployment success across a portfolio by translating business objectives into AI workflows, adoption strategies, champion communities, workshops, training, and measurable outcomes. Build stakeholder relationships, demonstrate ROI, customize educational experiences, and collaborate cross-functionally to improve materials and customer engagement. The hybrid role is based in San Francisco or Seattle and may require 25% domestic and international travel.

Lead AI transformation initiatives for Fortune 50–100 customers, partnering with executives to define adoption strategies, deliver measurable ROI and P&L impact, manage complex cross-functional programs, mitigate risks, and identify expansion opportunities. Develop transformation frameworks, executive communications, and repeatable best practices while influencing product strategy and helping organizations adopt AI-first operating models.

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 collaborate with product, data science, and DevOps teams. Implement continuous deployment, monitoring, logging, security, and reliability practices while leveraging cloud platforms, containers, vector databases, and modern AI development tools. Mentor engineers and take ownership of resilient production code.

Lead and scale a team of AI Transformation Leads supporting strategic Fortune 100 accounts. Coach team members, establish standards for measurable ROI and P&L impact, manage executive relationships, resolve escalations, identify growth opportunities, and partner with Sales, Product, and Engineering to improve transformation practices and influence the product roadmap.

Partner with enterprise customers to identify AI use cases and deliver tailored applications, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph. Translate complex AI capabilities into practical recommendations, collaborate with Product and Engineering, improve technical implementation processes, and drive customer adoption, expansion, and measurable business outcomes.

Own the global sales enablement strategy for Account Executive and Sales Development Representative teams. Define sales methodology, deliver onboarding and ongoing training, manage certification and everboarding programs, maintain sales content, measure enablement effectiveness, and improve ramp time, win rates, quota attainment, and pipeline velocity. Partner with Sales leadership, Product Marketing, and RevOps while using AI-native workflows to improve seller productivity.

Build and operate highly available, scalable infrastructure for WRITER’s AI platform across AWS, GCP, and Azure. Lead reliability engineering, SRE, DevOps, incident response, post-mortems, and root-cause analysis. Automate infrastructure with Python or Go, manage Kubernetes, Helm, and Terraform, define SLOs and error budgets, improve observability and platform efficiency, and partner cross-functionally on resilient system design. The role also requires daily use of AI-assisted development and operations tooling.

Build secure, scalable AI integration platforms connecting enterprise systems, external tools, and data sources. Design backend APIs, distributed services, authentication boundaries, and agent orchestration workflows. Drive reliability through observability, SLOs, incident readiness, and performance optimization. Partner cross-functionally on technical strategy, lead architecture reviews, mentor engineers, and own delivery from design through production.

Lead AI transformation initiatives for Fortune 50–100 customers, partnering with executives to define adoption strategies, realize ROI, and establish AI-first operating models. Manage strategic accounts, C-suite relationships, cross-functional programs, escalations, and expansion opportunities. Analyze business impact and P&L outcomes, develop transformation frameworks, and scale best practices across the organization.

Own WRITER’s lifecycle and email marketing program from strategy through execution, including segmentation, personalization, nurture workflows, triggered journeys, testing, reporting, and optimization in HubSpot. Partner with demand generation, ABM, content, product marketing, and sales to support enterprise buying journeys and pipeline growth. Use behavioral, account, intent, and engagement signals to improve audience experiences, measure revenue impact, and explore AI-driven lifecycle marketing.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting strategic accounts, leading executive discussions, negotiating deals, and maintaining accurate pipeline forecasts. The role partners with product and customer success teams, develops tailored solutions, supports deployments, and educates customers on maximizing platform value.

Lead research on large language models and agentic systems from hypothesis through production deployment. Design post-training experiments using SFT, RLHF, RLAIF, DPO, and GRPO; develop evaluation benchmarks, synthetic data pipelines, and adversarial datasets; shape model architecture and training roadmaps; publish at leading venues; and mentor researchers and engineers.

Own and evolve WRITER’s design system across design and engineering. Build production-quality React interfaces, reusable components, animations, and polished interactions while maintaining accessibility and consistency. Architect design-system primitives, synchronize Figma, documentation, and Storybook, improve design-to-code workflows, and drive adoption across the organization. Partner with designers, product managers, and engineers on AI product surfaces, including tool-call interfaces, streaming responses, agent states, and dynamic rendering.