Jobs at Writer

Design and embed application security controls across WRITER's AI platform: threat model LLM architectures, run SAST/DAST in CI/CD, perform code reviews and pentests, secure training data pipelines and AI agents, automate vulnerability detection, and partner with engineers to build secure-by-default patterns.

As a Software Quality Engineer at WRITER, you'll ensure high-quality, reliable AI-powered applications through comprehensive testing, automation frameworks, and collaboration with cross-functional teams, impacting global companies’ AI implementations.

Seeking a fullstack software engineer to design and build AI-driven agent systems, focusing on scalable solutions and backend integration. Responsibilities include collaborating with cross-functional teams and ensuring reliability of components.

As an AI Engineer, you will architect, develop, and deploy scalable AI applications, collaborating with teams to implement AI solutions that drive enterprise productivity and innovation.

Build and operate scalable, fault-tolerant infrastructure across cloud providers and Kubernetes. Automate infra with Python or Go, own on-call and SLOs, lead incident response and post-mortems, drive multi-quarter platform initiatives, and embed AI-assisted workflows and agents into daily operations.

Lead activation and platform success for enterprise customers by embedding in organizations, designing and delivering custom AI solutions, running workshops and champion programs, building power-user communities, tracking adoption metrics, and partnering cross-functionally to scale AI programs and demonstrate measurable business outcomes.

Partner with Fortune 50–100 customers to drive enterprise AI transformation: define vision and JTBD frameworks, build C‑suite relationships, deliver measurable P&L impact and ROI, orchestrate cross-functional programs, identify expansion opportunities, and scale transformation playbooks across teams.

Drive enterprise sales for WRITER's AI platform: qualify inbound leads, generate outbound pipeline, guide trials, build business cases, navigate legal/security/procurement, and secure executive buy-in across Fortune 1000 accounts.

Lead WRITER's EMEA customer success organization to drive retention and revenue growth, scale high-performing CSM teams, build a repeatable regional success model, partner with C-suite clients to deliver measurable AI-driven transformation, and influence product and go-to-market strategy across global teams.

Own full enterprise sales cycle for large global accounts, managing 8–18 month complex deals. Engage C-level stakeholders, drive net-new revenue, architect solutions with cross-functional teams, lead negotiations on multi-year contracts, run pilots, and maintain accurate pipeline and forecasts.

Lead activation and adoption for enterprise customers by embedding into accounts, designing and delivering custom AI solutions, building champion communities, running workshops, and measuring platform-driven business outcomes.

Lead enterprise AI transformation for Fortune 50-100 clients: set vision, define JTBD frameworks, drive ROI and P&L impact, build C‑suite relationships, orchestrate cross-functional programs, manage risk/escalations, and scale transformation playbooks to enable full-scale AI adoption and expansion.

Lead Tier 2 technical support for enterprise B2B SaaS customers: triage and resolve complex production incidents, debug Python and no-code agents, investigate integrations and APIs, build automation/diagnostic tooling, escalate to engineering, and feed product feedback to shape the roadmap.

Partner with enterprise customers to identify AI use cases, architect and implement custom applications and integrations using WRITER's platform, APIs, Knowledge Graph and LLMs. Translate technical concepts for diverse stakeholders, collaborate with Product and Engineering to influence roadmap, and drive adoption, scalability, and time-to-value through documentation and processes.

As a software engineer in generative AI, you will design and develop secure applications, optimize APIs, and collaborate with cross-functional teams to enhance AI solutions.