Jobs at Writer

Own customer activation and AI platform adoption across a portfolio. Develop use-case-based solutions, champion communities, training programs, workshops, dashboards, and office hours that connect platform usage to measurable business outcomes. Build relationships with customer stakeholders and executive sponsors, customize educational content, facilitate live and virtual sessions, and collaborate cross-functionally to improve adoption strategies. This hybrid role requires strong customer success, technical communication, facilitation, and program management skills.

Own customer activation and platform success across an enterprise portfolio. Design and execute AI adoption strategies, build champion and power-user communities, deliver customized workshops and training, develop workflows and solutions tied to business outcomes, and advise stakeholders on scaling AI programs. Partner with transformation and curriculum teams, use adoption data to improve enablement, and build relationships with customer executives and internal trainers.

Own WRITER’s end-to-end email and lifecycle marketing program, including audience segmentation, personalized nurture journeys, triggered campaigns, experimentation, reporting, and optimization in HubSpot. Partner with demand generation, ABM, content, product marketing, and sales to support enterprise buying journeys and pipeline growth. Establish measurement frameworks linking lifecycle activity to engagement, pipeline, and revenue, while exploring AI-driven personalization and audience strategy.

Lead AI transformation initiatives for Fortune 50–100 customers, serving as a strategic advisor to C-suite leaders. Drive AI adoption, value realization, ROI analysis, P&L impact, executive relationships, and cross-functional transformation programs. Manage customer risks and escalations, identify expansion opportunities with sales, and develop repeatable frameworks, communications, and best practices for enterprise AI transformation.

Lead AI transformation initiatives for Fortune 50–100 customers, partnering with executives to define AI adoption strategies, realize measurable ROI and P&L impact, manage complex cross-functional programs, and identify expansion opportunities. Build C-suite relationships, lead value analysis, resolve risks and escalations, and develop reusable transformation frameworks and communications. The role also influences WRITER’s product roadmap and helps customers transition to AI-first operating models.

Own and evolve WRITER’s design system across design and engineering. Build production-quality React components, primitives, interactions, and AI-agent-ready UI patterns; maintain synchronized Figma, documentation, and Storybook libraries; improve accessibility and frontend craft; drive design-system adoption; and shape design-to-code workflows across the organization.

Leads and scales a team of AI Transformation Leads serving strategic Fortune 100 accounts. Responsibilities include coaching managers, setting value-realization standards, building executive relationships, resolving escalations, partnering with Sales, Product, and Engineering, influencing the product roadmap, and identifying expansion opportunities. The role drives measurable ROI, P&L impact, customer health, and enterprise adoption of AI operating models.

Negotiate SaaS licensing, partnership, data processing, supplier, and other commercial agreements. Develop contract templates and negotiation playbooks, improve sales contracting processes, create scalable legal operations, and advise and train go-to-market teams. Partner closely with sales, procurement, and internal stakeholders while addressing privacy, intellectual property, AI, and enterprise contracting issues.

Own product marketing and go-to-market strategy for WRITER Agent and core application features. Develop positioning, messaging, launch plans, competitive differentiation, sales enablement assets, and adoption programs. Partner cross-functionally with Product, Sales, Customer Success, Demand Generation, Content, Communications, and Customer Marketing teams. Conduct market research and competitive intelligence while translating complex AI capabilities into compelling value for technical and enterprise business audiences.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling, secure architecture reviews, SAST/DAST implementation, 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, automates security processes, and partners with engineering teams to enable secure development at scale.

Partner with enterprise customers to identify AI use cases, architect and implement custom applications and integrations using WRITER’s platform, APIs, and Knowledge Graph. Translate complex AI concepts into actionable solutions, collaborate with Product and Engineering, improve technical integration processes, and drive customer adoption, time-to-value, and measurable business outcomes.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full strategic sales cycle. Prospect and qualify target accounts, build executive relationships, deliver consultative presentations, negotiate deals, maintain accurate pipeline forecasts, and partner with product and customer success teams to support successful deployments and long-term customer value.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting target accounts, developing client relationships, leading executive discussions and negotiations, forecasting pipeline, and partnering with product and customer success teams to support successful deployments.

Lead independent AI research on large language models and agentic systems, from hypothesis through training, evaluation, and production deployment. Develop post-training methods, reasoning and planning capabilities, evaluation benchmarks, synthetic data pipelines, and enterprise AI improvements. Publish at leading conferences, shape model strategy, and mentor researchers and engineers.

Generate outbound pipeline from target enterprise accounts by researching prospects, developing value hypotheses, executing multi-touch account-based campaigns, qualifying leads, and setting meetings for sales representatives. The role partners with account executives, marketing, and sales; improves prospecting processes; and maintains accurate Salesforce data. It requires strong written communication, an experimental mindset, and demonstrated success exceeding outbound pipeline goals in a B2B SaaS startup.

Build and operate highly available infrastructure for WRITER’s enterprise AI platform. Responsibilities include designing cloud and Kubernetes systems, automating infrastructure with Python or Go, managing Terraform and Helm, leading incident response and postmortems, defining SLOs, improving observability and reliability, and owning infrastructure initiatives end to end. The role also requires daily use of AI-assisted development workflows and collaboration with product, security, and engineering teams.

Leads high-impact, cross-functional product initiatives from discovery through launch and iteration. Shapes multi-quarter strategy and roadmaps, engages enterprise customers, partners with engineering and design on AI and platform products, defines success metrics, aligns stakeholders, and mentors product managers. The role requires technical fluency in LLMs, agents, data, and architecture, along with strong strategic judgment, execution, communication, and customer empathy.

Build and deploy scalable AI applications, intelligent agents, and generative AI features in production. Collaborate with research, data science, and product teams; evaluate emerging AI technologies; and implement responsible AI practices including bias detection, explainability, and safety alignment. The role requires production machine learning experience, Python and AI framework expertise, cloud and MLOps knowledge, and strong software engineering skills.

Build and scale AI agent systems that autonomously execute workflows and integrate with enterprise data and services. Develop agent infrastructure, APIs, memory, orchestration, security, state management, and asynchronous workflows. Integrate vector databases, retrieval systems, backend services, and external APIs. Ensure reliability through monitoring, observability, testing, CI/CD, and fault tolerance while collaborating with product, research, data, and UX teams.

Build secure, scalable AI integration platforms connecting enterprise systems, tools, data sources, and applications. Design backend APIs, distributed services, authentication and authorization systems, MCP clients and servers, and cross-system orchestration. Establish reliability practices including SLOs, observability, incident readiness, and performance optimization. Partner with product and engineering leaders on technical strategy, mentor engineers, lead architecture reviews, and own delivery through production.