Jobs at Writer

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.

Lead AI transformation initiatives for Fortune 50–100 customers, partnering with executives to define AI adoption strategies, quantify ROI and P&L impact, manage cross-functional programs, resolve risks, and drive expansion opportunities. Build C-suite relationships, guide customers from AI experimentation to enterprise-scale value realization, and develop repeatable transformation frameworks and communications.

Lead AI transformation initiatives for Fortune 50–100 customers, serving as a strategic advisor to C-suite executives. Drive AI adoption, value realization, ROI analysis, and measurable P&L impact while managing complex cross-functional programs, escalations, and stakeholder relationships. Identify expansion opportunities with sales and develop scalable transformation frameworks, presentations, and communications. The role requires extensive strategic account management or transformation consulting experience, executive presence, change management expertise, and strong strategic communication skills.

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, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph. Translate complex AI concepts into solution recommendations, collaborate with Product and Engineering, develop scalable integration processes, and drive customer adoption, time-to-value, and business outcomes.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting strategic accounts, developing opportunities, leading executive discussions, negotiating deals, and maintaining accurate pipeline forecasts. Partner with product and customer success teams on tailored solutions and deployments while serving as a trusted product expert. The role targets global enterprises with 8,000+ employees and requires consultative, outbound, quota-carrying SaaS sales expertise.

Own customer activation and platform success across an enterprise portfolio. Design AI adoption strategies, build champion and power-user communities, deliver customized workshops and training, develop customer-specific workflows, and connect platform usage to measurable business outcomes. Partner with transformation and curriculum teams, advise executive stakeholders, refine enablement programs using adoption data, and drive long-term customer engagement. This hybrid New York City role may require 25% domestic and international travel.

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.

Design and rapidly ship focused 15–45-minute video-based learning courses on software, workflows, role-specific skills, and AI topics. Own the full learning design lifecycle, deliver live and virtual training, repurpose content across formats, monitor emerging needs, triage requests, and collaborate with product, marketing, customer-facing teams, and subject matter experts. Serve as the on-camera or voiceover instructor while balancing speed, scope, and learning impact.

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.

Own customer activation and platform success for enterprise AI deployments. Build custom AI workflows, adoption strategies, champion networks, power-user communities, dashboards, trainings, and workshops. Advise stakeholders on scaling AI programs, connect usage to measurable business outcomes, and collaborate cross-functionally to improve enablement and customer experiences. The hybrid role is based in New York City and requires up to 25% domestic and international travel.

Leads paid marketing programs across social, search, and display channels, using AI to personalize and scale campaigns. Develops ABM strategies for enterprise accounts, supports long sales cycles, optimizes targeting, bidding, and budgets, analyzes ROI and pipeline impact, collaborates cross-functionally, and manages agency and vendor relationships.

Lead WRITER’s internal and external brand strategy, campaigns, customer and employee brand experiences, AI-native brand operations, product branding, agency relationships, brand measurement, and centralized brand systems. Partner with product, design, engineering, and marketing teams to strengthen brand consistency, awareness, perception, and business impact while enabling the company to create high-quality, on-brand work at scale.

Build secure, scalable generative AI services, applications, APIs, microservices, and agentic workflows. Own architecture from proposal through production, develop React and TypeScript interfaces, and collaborate with product, data science, and DevOps teams. Implement deployment, monitoring, logging, enterprise security, and reliability capabilities while mentoring engineers and delivering resilient production systems.