Writer

Chief Operating Officer

• Complex calendar management: manage the COO’s and CCO’s dynamic schedules both internally and externally, understanding key priorities to strategically organize meetings and commitments.
• International & domestic travel: book and plan all logistics for the COO’s and CCO’s travel, including flights, hotels, ground transportation.
• Daily agenda & briefings: ensure the COO’s and CCO’s daily agenda is updated and collaborate with internal teams to include comprehensive prep sheets and background information for all external meetings.
• Event & conference support: provide EMEA on-site support at in-person events and conferences, ensuring seamless logistical execution.
• Inbox management & correspondence triage the COO’s and CCO’s inbox send prioritize messages, and draft emails on the COO’s and CCO’s behalf to ensure timely, professional, and aligned responses.
• Stakeholder coordination: serve as the key liaison with internal and external stakeholders to support the COO & CCO schedules and regional priorities.
• Miscellaneous admin support: additional administrative support as needed by the COO and CCO.

Executive Assistant, COO, CCO

Full-stack Engineer

• Design and build robust, scalable services for enterprise administration, billing, identity management, authentication, and authorization
• Make meaningful system design decisions, own the architecture of core platform components from initial design through production
• Build and optimise high-performance APIs and distributed services that operate reliably at enterprise scale
• Collaborate with product managers and cross-functional engineering teams to translate complex business and compliance requirements into well-designed technical solutions
• Partner with DevOps teams on continuous deployment, logging, and monitoring; ensuring top-tier performance and reliability
• Drive improvements in observability, reliability, deployment workflows, and operational excellence
• Navigate ambiguity, take loosely defined problem spaces and turn them into well-structured, maintainable implementations
• Raise the bar on code quality, testing, documentation, and long-term maintainability

Staff Software Engineer, Enterprise Admin

• Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.
• Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management.
• Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.
• Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.
• Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).
• Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.

Software Engineer, Agents

Security Engineer

• Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the fact
• Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production
• Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default
• Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers.
• Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products
• Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale
• Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents
• Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks

Security Engineer, Application Security

• Own and drive WRITER's security compliance program end-to-end including managing SOC 2 Type II audits, ISO Triad (27001/27701/42001) certification, and expanding our compliance coverage to meet emerging customer requirements in regulated industries like financial services and healthcare
• Lead customer assurance efforts by responding to security questionnaires, DDQs, and RFPs from enterprise customers, maintaining our trust portal with up-to-date security documentation, and partnering with Sales to remove security blockers that could delay major deals
• Build and maintain WRITER's security governance framework including creating and updating security policies, access control standards, vendor risk procedures, incident response plans, and AI-specific governance documentation that addresses model training, data handling, and responsible AI deployment
• Conduct continuous control monitoring and evidence collection by implementing automated compliance workflows, tracking remediation activities across teams, performing control testing, and ensuring we maintain audit-ready documentation throughout the year instead of scrambling before audits
• Drive risk assessments and third-party vendor security reviews by evaluating supplier controls, identifying and quantifying security risks across our AI platform and infrastructure, and working cross-functionally to prioritize and track remediation efforts
• Partner with Engineering and Product teams to embed compliance into the development lifecycle by reviewing architecture decisions for security and privacy implications, ensuring secure-by-design principles are followed for new AI features, and translating regulatory requirements into technical controls that developers can actually implement
• Serve as the primary point of contact for external auditors and assessors, coordinating evidence collection, scheduling interviews, addressing findings, and ensuring audit processes run smoothly while minimizing disruption to the broader team

Security Specialist, GRC

Product Designer

• Craft engaging learning pathways: develop comprehensive on-demand learning pathways that equip our customers to lead in the transformative world of enterprise generative AI.
• Design dynamic, visually compelling experiences: create a diverse range of cutting-edge learning experiences
• Collaborate across teams: work closely with cross-functional teams to enhance and expand our existing educational offerings
• Identify and address gaps: continuously assess our learning materials to identify areas for improvement
• Empathize and advocate: understand the challenges our customers and partners face
• Leverage research-informed strategies: apply the latest research-informed learning design principles and UX best practices
• Foster a culture of assessment: build a robust feedback and assessment system to inform and refine our learning programs

Lead Learning Experience Designer – Enterprise AI

Artificial Intelligence

• Develop and implement AI agents for life sciences applications, including medical writing assistants, literature synthesis tools, regulatory document preparation systems, and research protocol generators
• Design and execute comprehensive testing protocols to evaluate AI agent performance, scientific accuracy, and adherence to medical writing standards across diverse research and regulatory scenarios
• Collaborate with our Customer Operations and Life Sciences Industry leaders to translate research workflows, regulatory requirements, and publication standards into functional AI agent specifications
• Guide our technical and engineering teams in implementing best practices for medical AI development, including prompt engineering, retrieval-augmented generation, and scientific validation methodologies
• Architect and deploy multi-agent systems that orchestrate complex research workflows, from literature review and protocol design to manuscript preparation and regulatory submission
• Lead research initiatives exploring novel applications of generative AI in medical writing, drug development, and scientific research, publishing findings and contributing to the advancement of the field
• Provide training and mentorship to cross-functional teams on life sciences AI development principles, scientific integrity considerations, and regulatory compliance (ICH-GCP, FDA guidance)

Healthcare & Life Sciences AI Agent Analyst – Contract

• Manage a portfolio of customers while leading ROI and value initiatives in partnership with a customer success manager who focuses on the adoption strategy
• Act as a strategic transformation partner for Fortune 50-100 customers by setting vision and defining the JTBD framework with leadership teams to drive AI adoption
• Build and manage C-suite relationships as a trusted advisor to make AI a top priority for executives
• Lead value realization and ROI delivery by conducting analysis through surveys and interviews to frame the P&L impact of AI adoption in business reviews
• Orchestrate complex cross-functional programs across multiple stakeholders while managing customer teams, escalations, risk mitigation, and program updates
• Proactively identify and drive expansion opportunities by anticipating customer needs and working with sales on cross-sell and upsell initiatives
• Scale transformation best practices by producing and "processifying" decks, frameworks, and communications for the wider team

Strategic AI Transformation Lead – East

Strategic AI Transformation Lead

Enterprise AI Transformation Lead – East

Enterprise AI Transformation Lead

Customer Success Manager

• Scale activation frameworks, identifying repeatable customer deployments and building specific plays that balance standardization with customization.
• Lead customer AI program strategy, focusing on change management, AI center of excellence, use case prioritization, and time-to-value.
• Translate technical challenges into solutions through platform guidance and adoption program execution.
• Own customer success plans and strategic relationships, executing business reviews and executive sign-offs, developing C-suite through end user relationships, and managing change resistance.
• Drive platform usage and adoption, implementing champion programs, office hours, dashboards, customized trainings and workshops.
• Build advocate networks and champion communities, creating power user communities, training trainers, and designing innovative customer experiences.