Writer

Customer Success Manager

Mid-Market Customer Success Manager

Public Relations

• Translate business, product, partnership, and engineering achievements into compelling narratives for CIOs, CxOs, influencers, and top tech and business media
• Develop and execute comprehensive, cross-channel PR strategies to enhance WRITER’s brand visibility and reputation in the tech and AI sectors
• Plan and execute PR activities around product launches, company milestones, partnerships, and industry events
• Coordinate with internal teams to ensure seamless execution and fuel PR agency through storymining and asset creation
• Build and maintain relationships with key journalists, editors, and influencers; pitch stories and manage media inquiries
• Craft press releases, thought leadership articles, social posts, and other PR materials highlighting WRITER’s solutions
• Identify, engage, and activate key industry influencers to amplify WRITER’s message
• Track and analyze PR metrics to measure campaign impact and provide insights
• Work closely with marketing, EPD, and executive teams to align PR efforts with business goals
• Stay current on AI industry developments and translate complex technical topics into accessible narratives

Director, Public Relations

WRITER is seeking an experienced Director of public relations to drive our PR strategy and execution.
Translate business, product, partnership, and engineering achievements into compelling narratives for CIOs, CxOs, influencers, and tech and business media.
Develop and execute comprehensive, cross-channel PR strategies to enhance WRITER’s brand visibility and reputation in the tech and AI sectors.
Plan and execute PR activities around product launches, company milestones, partnerships, and industry events.
Coordinate with internal teams and manage PR agency collaboration.
Build and maintain relationships with key journalists, editors, and influencers; pitch stories and manage media inquiries.
Craft press releases, thought leadership, social posts, and other PR materials.
Identify and activate key industry influencers to amplify WRITER’s message.
Track and analyze PR metrics to measure impact and provide insights.
Work closely with marketing, EPD, and executive teams to align PR efforts with business goals.

Product Marketing

• The Partner product marketing manager is responsible for developing and executing marketing strategies that drive awareness, engagement, and revenue through Writer’s partner network. This role involves collaborating closely with internal teams and external partners to create and deliver compelling marketing campaigns, content, and programs that showcase the value of Writer’s products and solutions. The ideal candidate will have a strong background in product marketing, excellent communication skills, and a proven ability to build and maintain successful partner relationships.
• Partner marketing strategy:
• Develop and implement a comprehensive partner marketing strategy that aligns with Writer’s overall business goals.
• Identify and prioritize key partner segments and opportunities for growth.
• Collaborate with the core Product Mlarketing team to ensure partner marketing initiatives are integrated with broader marketing efforts.
• Campaign development and execution:
• Create and execute joint marketing campaigns with partners, including webinars, co-branded content, and promotional events.
• Develop and manage marketing collateral, such as case studies, whitepapers, and sales enablement materials, tailored for partner audiences.
• Coordinate with internal teams (e.g., sales, product, and creative) to ensure seamless execution of partner marketing campaigns.
• Content creation and management:
• Produce high-quality, engaging content that highlights the benefits and value of Writer’s products in partnership with external partners.
• Manage the content calendar for partner marketing, ensuring timely and relevant content delivery.
• Collaborate with the content team to create and curate content for partner channels, such as blogs, social media, and newsletters.
• Sales enablement:
• Develop and deliver training programs and resources to help partners effectively sell Writer’s products.
• Create and maintain a library of sales enablement materials, including product overviews, competitive analyses, and customer success stories.
• Work closely with the sales team to identify and address partner-specific sales challenges and opportunities.
• Relationship management:
• Build and maintain strong relationships with key partners, serving as a trusted advisor and point of contact.
• Facilitate regular communication and collaboration with partners to ensure alignment and mutual success.
• Address partner concerns and provide support to enhance their experience and satisfaction.

Senior Partner, Product Marketing

Product Manager

• Own the Partner App product surface, used by SIs and ecosystem partners
• Define and launch functionality that enables partners to build, deploy, and supervise agents across customer accounts
• Collaborate with Business development and Solutions teams to align product capabilities with go-to-market strategy
• Work cross-functionally with DevX to ensure our SDKs, APIs, and documentation meet partner needs
• Set roadmap for scaling partner enablement and ecosystem health

Product Manager, Ecosystem

Product manager, ecosystem

• Define and execute the growth strategy to expand Writer adoption within accounts, driving more users, more agents, and deeper engagement
• Build product-led motions that make it easy for enterprise customers to onboard, activate, and expand usage without friction
• Partner with Sales and CS to understand adoption blockers, and turn insights into scalable product improvements
• Identify and deliver features that encourage cross-team usage, agent sharing, and multi-department expansion
• Collaborate with design, engineering, and marketing to launch in-product experiences, nudges, and analytics that drive seat growth
• Monitor key metrics such as activation, usage, retention, and seat expansion to inform data-driven decision-making
• Stay ahead of trends in enterprise PLG (product-led growth) and apply best practices to scaling AI adoption

Product manager, growth

Product Manager, Growth

• Own the full-stack admin experience across the WRITER platform
• Build scalable, intuitive tools for identity management, permissions, billing, and policy controls
• Drive UX patterns that balance enterprise-grade control with user autonomy
• Partner with legal, IT, and enterprise customers to ensure compliance and scale-readiness
• Collaborate closely with other PMs to embed admin controls across all surfaces of WRITER
• Define long-term strategy for federated governance, multi-tenant controls, and data localization

Product Manager, Admin

• WRITER is experiencing an incredible market moment as generative AI transforms how work gets done.
• We're not just enabling new ways to generate content – we're unlocking entirely new ways to orchestrate and scale work across the enterprise.
• This role leads Supervise, a brand-new product surface for managing, monitoring, and scaling AI agents safely.
• This is a first-of-its-kind operating system for AI oversight, including escalation paths, agent performance insights, governance, and policy enforcement.
• You will report to our Director of Product.
• Define the future of agent supervision: observability, controls, escalations, and safety features to unlock enterprise trust.
• Collaborate across design, engineering, and customer success to invent new interaction patterns for hybrid human-AI teams.
• Partner with compliance, IT, and security leaders at Global 2000 companies to understand risk and governance needs.
• Set the product vision for supervising agents across scale — from 10 agents to 10,000.
• Drive roadmap, execution, and cross-functional alignment for the Supervise product area.

Product manager, supervise

Analyst

• Advise the sales team on deal structures that fit their customer’s needs while maximizing revenue
• You’ll get deep in the weeds of our deals in order to create order forms that meet our internal requirements and represent the deal well
• Create relationships with our sales team so they trust you to be a valuable player in helping us win deals
• Process orders when they are ready to close in salesforce and be sent to finance for invoicing. This will give you a fantastic understanding of how our systems currently work so we can drive improvements to prepare us to scale
• Apply your insights to our pricing and packaging so we can continue to evolve
• Work closely with other members of our GTM Strat Ops team to create an AI-driven operational powerhouse that helps push the business forward

Deal desk analyst

Security Engineer

• About this role
• WRITER is seeking a Detection and Response Engineer to defend our AI/AGI platforms, training data, and deployed models against sophisticated and evolving threats.
• At WRITER, protecting the integrity of our AI systems is as critical as advancing their capabilities. This role blends hands-on security engineering with strategic threat detection, ensuring our defenses evolve faster than the adversaries targeting our infrastructure. You’ll design advanced detections, automate rapid responses, and lead investigations into incidents affecting our AI stack—covering everything from GPU clusters to model inference endpoints.
• You’ll be the operational heartbeat of our AI security posture, partnering across security, infrastructure, and research teams to detect attacks, orchestrate containment, and safeguard our most valuable intellectual property.
• If you thrive on staying ahead of attackers and can turn cutting-edge AI threat intelligence into production-grade detection systems, we’d love to hear from you.
• Role Boundaries & Collaboration
• What You Own (Responsible)
• Incident response coordination
• Real-time threat monitoring and detection
• Production AI monitoring (not research)
• Forensic investigation
• Detection engineering across all security domains
• AI threat detection implementation
• What You Don't Own (Others Lead)
• AI security research (AI Security owns)
• Preventive security controls (respective domain teams own)
• Customer-facing security features (Software Security Engineering owns)
• Infrastructure hardening (Cloud/Infrastructure owns)
• Key Partnerships
• With AI Security: They provide threat research and models; you implement production monitoring
• With All Security Teams: You detect attacks across all domains; they build preventive controls
• With Cloud/Infrastructure: They build infrastructure; you monitor it for threats
• With Software Security Engineering: You detect customer-impacting incidents; they build protections
• Your responsibilities
• Engineer advanced threat detection — Design and implement detections for AI/ML-specific threats including prompt injection, model extraction, data poisoning, and adversarial inputs.
• Automate security responses — Build playbooks and orchestration workflows that contain AI-targeted attacks in minutes, not hours.
• Lead AI incident response — Coordinate cross-team investigations into compromises of models, training data, and inference endpoints.
• Hunt for AI-specific threats — Proactively search for active attacks across GPU clusters, training pipelines, and model deployments.
• Enhance visibility & telemetry — Onboard, optimize, and analyze logging from AI infrastructure to detect anomalies and misuse.
• Collaborate across domains — Partner with AI Security on threat intelligence, Cloud/Infrastructure on runtime monitoring, and Software Security Engineering on customer-impacting incidents.
• Is this you?
• Required Experience
• 8+ years in security operations, detection engineering, or incident response.
• 3+ years securing AI/ML infrastructure or high-performance computing environments.
• Proven ability to detect and stop sophisticated attacks.
• Experience with distributed systems, GPU cluster security, and cloud-native monitoring.
• Proficiency with SIEM platforms and detection technologies.
• Strong programming skills in Python, KQL, SPL, or similar.
• Technical Expertise
• Deep understanding of AI/ML attack vectors such as adversarial examples, model inversion, and membership inference.
• Experience securing training pipelines, model deployments, and sensitive research environments.
• Knowledge of GPU computing security challenges.
• Hands-on forensics experience in distributed or cloud-based systems.
• Execution & Impact
• Demonstrated success in building detections for novel, AI-specific attack techniques.
• History of safeguarding high-value intellectual property.
• Proven record of automating incident response at scale.
• Track record of uncovering critical security gaps through proactive threat hunting.
• Preferred Qualifications
• Background in AI/ML engineering or research.
• Experience with AI safety and AI/ML security research.
• Familiarity with APT tactics targeting AI companies.
• Contributions to the AI security research community.
• Experience with confidential computing or secure enclaves.

Security engineer, detection and response

• Embed security in the build pipeline — Own pre-deployment application security, including automated vulnerability scanning, container scanning, and custom security gates in CI/CD.
• Conduct advanced application penetration testing — Perform comprehensive testing on AI applications, APIs, and model endpoints, simulating adversarial attacks to validate controls.
• Automate security testing at scale — Develop scripts, tools, and frameworks for continuous security assessment, including SAST, DAST, and SCA integration.
• Lead application-layer red team exercises — Plan and execute engagements that mimic sophisticated adversary techniques targeting AI systems.
• Hunt and validate vulnerabilities — Discover, reproduce, and chain vulnerabilities into realistic attack paths, providing actionable remediation guidance.
• Advise on security architecture — Review designs for weaknesses, create secure patterns, and identify systemic issues across applications.
• Collaborate across boundaries — Partner with Cloud/Infrastructure on deployment/runtime security, AI Security on threat modeling, and Detection & Response on defensive validation.

Security engineer, application security

• About this role: WRITER is seeking an Application Security Engineer with deep expertise in AppSec, DevSecOps automation, and red team operations to secure our AI and AGI applications.
• Build pipeline security (pre-deployment phase) — security gates and checks in CI/CD; container scanning in build phase; vulnerability discovery.
• Conduct advanced application penetration testing on AI applications, APIs, and model endpoints.
• Automate security testing at scale with SAST, DAST, and SCA.
• Lead application-layer red team exercises.
• Hunt and validate vulnerabilities; provide remediation guidance.
• Advise on security architecture; collaborate across Cloud/Infrastructure, AI Security, and Detection & Response.
• Is this you? — 8+ years in app security; 5+ years pentesting; etc.
• Describe your fit with WRITER values (Connect, Challenge, Own).

• Incident response coordination
• Real-time threat monitoring and detection
• Production AI monitoring (not research)
• Forensic investigation
• Detection engineering across all security domains
• AI threat detection implementation
• Engineer advanced threat detection — Design and implement detections for AI/ML-specific threats including prompt injection, model extraction, data poisoning, and adversarial inputs.
• Automate security responses — Build playbooks and orchestration workflows that contain AI-targeted attacks in minutes, not hours.
• Lead AI incident response — Coordinate cross-team investigations into compromises of models, training data, and inference endpoints.
• Hunt for AI-specific threats — Proactively search for active attacks across GPU clusters, training pipelines, and model deployments.
• Enhance visibility & telemetry — Onboard, optimize, and analyze logging from AI infrastructure to detect anomalies and misuse.
• Collaborate across domains — Partner with AI Security on threat intelligence, Cloud/Infrastructure on runtime monitoring, and Software Security Engineering on customer-impacting incidents.

Security Engineer, Detection and Response

• Enterprise Security Engineer to help secure WRITER's corporate infrastructure and workforce
• Architect identity management solutions, implement zero trust frameworks, and build automated security systems
• Lead hands-on implementation across identity, endpoint, device, and SaaS environments
• Collaborate with Cloud/Infrastructure, GRC, Detection & Response, and Software Security Engineering
• Own Employee Identity & Access Management responsibilities including IAM automation, enterprise-wide authentication, IGA, PAM
• Own Endpoint & Device Security architecture, EDR, DLP, AV, device hardening, automated compliance checks
• Manage Mobile Device Management (MDM) for iOS, Android, and corporate-owned devices
• Oversee SaaS & Third-Party Security assessments and vendor risk collaboration
• Implement Endpoint Zero Trust: device trust, continuous verification, user risk-based access
• Build Automation & Operations, automate security processes with Python/PowerShell, maintain runbooks

Security engineer, enterprise security

• Lead AI regulatory compliance — Research global AI regulations, develop compliance strategies, and align AI development with transparency, fairness, and safety requirements.
• Own compliance programs — Manage SOC2, ISO 27001/27701/42001, GDPR, HIPAA, SOX readiness, and FedRAMP strategies.
• Drive enterprise risk management — Design frameworks for assessing and mitigating AI-specific and enterprise-wide risks.
• Manage third-party risk — Build vendor risk programs for AI/ML suppliers, cloud providers, and data processors.
• Champion data privacy — Lead privacy programs for AI training data and user information, ensuring compliance with GDPR, CCPA, and emerging laws.
• Coordinate audits and certifications — Oversee internal and external audits, evidence collection, and resolution of findings with minimal disruption.
• Enable compliance through partnership — Define requirements and collaborate with security, engineering, and legal teams to implement controls.

Security Engineer, GRC

• Overall compliance program strategy and management
• AI regulatory compliance research and implementation
• Enterprise risk management framework
• Third-party risk management program
• Data privacy and governance programs
• Audit coordination and management
• Technical implementation of security controls (other security teams own)
• Operational security monitoring (Detection &amp; Response owns)
• Identity and access implementations (Enterprise/Corporate and Cloud/Infrastructure own)
• With All Security Teams: You define compliance requirements; they implement technical controls
• With AI Security: Partner on AI-specific regulatory requirements and risk assessments
• With Enterprise/Corporate: They implement technical vendor assessments you define
• With Legal: Collaborate on regulatory interpretation and privacy matters
• Lead AI regulatory compliance — Research global AI regulations, develop compliance strategies, and align AI development with transparency, fairness, and safety requirements.
• Own compliance programs — Manage SOC2, ISO 27001/27701/42001, GDPR, HIPAA, SOX readiness, and FedRAMP strategies.
• Drive enterprise risk management — Design frameworks for assessing and mitigating AI-specific and enterprise-wide risks.
• Manage third-party risk — Build vendor risk programs for AI/ML suppliers, cloud providers, and data processors.
• Champion data privacy — Lead privacy programs for AI training data and user information, ensuring compliance with GDPR, CCPA, and emerging laws.
• Coordinate audits and certifications — Oversee internal and external audits, evidence collection, and resolution of findings with minimal disruption.
• Enable compliance through partnership — Define requirements and collaborate with security, engineering, and legal teams to implement controls.

• Design, build, and scale the systems that protect our users, their data, and their interactions with our AI/AGI services.
• Security tools, frameworks, and controls for millions of users without slowing them down.
• Fraud prevention, abuse detection, identity systems, and secure-by-default development platforms.
• Customer authentication and authorization systems; internal security platforms and tools; security libraries and dashboards.
• Security libraries and frameworks for engineering teams.
• Strengthen platform security, including multi-party authorization, secrets management, audit logging, and zero-trust networking.
• Build reusable security frameworks—secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
• Lead technically; drive the architecture of security systems; mentor engineers; review designs; influence security strategy across the organization.

Software security engineer, embedded

• Protect customers at scale — Build fraud detection, rate limiting, abuse prevention, and LLM interaction controls (prompt injection prevention, output filtering).
• Own customer identity security — Design and implement authentication and authorization systems, protecting customer data and AI service interactions.
• Engineer security platforms — Create tools and dashboards that automate repetitive security tasks, track vulnerabilities, and enable cross-team security efficiency.
• Build reusable security frameworks — Develop secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
• Strengthen platform security — Implement multi-party authorization, secrets management, audit logging, and zero-trust networking components.
• Empower developers — Deliver self-service security tools and frameworks that integrate seamlessly with engineering workflows.
• Lead technically — Drive the architecture of security systems, mentor engineers, review designs, and influence security strategy across the organization.

• Build and maintain endpoint security architecture and strategy
• Deploy, manage, and troubleshoot enterprise browsers, EDR, DLP, AV, and other security tools
• Implement device hardening and automated compliance checks
• Investigate endpoint security incidents and build systems that strengthen identity, DLP, and device security
• Own endpoint security tools; Detection & Response uses your tools for monitoring
• Automate IAM processes to remove manual bottlenecks in user lifecycle management (onboarding → offboarding)
• Design and implement enterprise-wide identity and authentication solutions
• Deploy IGA, PAM, and cloud-native IAM platforms
• Partner with engineering teams on provisioning, access termination, and entitlement management
• Own all human/employee identities (service/machine identity managed by Cloud/Infrastructure)
• Design and operate MDM for iOS, Android, and corporate-owned devices
• Create compliance policies and automated enforcement
• Integrate MDM with conditional access and zero trust
• Manage BYOD programs with balanced security/privacy controls
• Automate provisioning, configuration, and device retirement
• Evaluate and secure third-party SaaS applications
• Conduct technical security assessments of SaaS vendors
• Implement enterprise SaaS security strategies
• Partner with GRC on vendor risk requirements while you own technical controls
• Deploy endpoint/user-focused Zero Trust security frameworks
• Implement device trust, continuous verification, and user behavior analytics
• Create conditional access policies based on device health and user risk
• Automate security processes with Python, PowerShell, or similar
• Maintain runbooks and automation for security reviews
• Support and troubleshoot IAM systems across platforms
• Drive data-informed prioritization for security initiatives

Recruitment

• Talent sourcing: proactively source and engage with passive candidates through various channels, including LinkedIn, job boards, and professional networks.
• Candidate screening: conduct initial phone screens and interviews to assess candidates' qualifications, cultural fit, and alignment with our company values.
• Stakeholder collaboration: partner closely with hiring managers and stakeholders to understand their hiring needs and provide regular updates on the recruitment process.
• Process management: manage the full recruitment lifecycle, from job posting to offer negotiation, ensuring a seamless and positive candidate experience.
• Data-driven decisions: utilize recruitment metrics and data to optimize the hiring process, identify trends, and make informed decisions.
• Employer branding: contribute to our employer branding efforts by creating compelling job descriptions, promoting our company culture, and enhancing our presence on social media and job boards.

Business Recruiter

• Oversee GTM recruitment team and processes at a global scale; build roadmap with execution; ensure hiring goals and high candidate experience
• Collaborate with GTM leadership, hiring managers, and stakeholders to understand needs and deliver exceptional talent solutions
• Building and scaling a high-performing GTM recruiting function will be key to long-term success; lead GTM leaders to success
• Responsibilities: Strategic planning: develop and implement global GTM recruitment strategies that align with our business objectives and growth plans
• Team leadership: lead, mentor, and manage a team of recruiters, fostering a collaborative and high-performing environment
• Process optimization: continuously refine and optimize our recruitment processes to enhance efficiency and effectiveness
• Stakeholder collaboration: partner with hiring managers and stakeholders to understand their hiring needs and provide regular updates on recruitment progress
• Talent sourcing: oversee the sourcing of candidates through various channels, including job boards, social media, and professional networks
• Candidate experience: ensure a positive and seamless candidate experience throughout the recruitment process, from initial contact to onboarding
• Data-driven decisions: utilize recruitment metrics and data to inform decision-making, identify trends, and drive process improvements
• Employer branding: enhance our employer brand by promoting our company culture, values, and benefits through various channels

Senior Director, GTM Recruiting

• Oversee our GTM recruitment team and processes at a global scale, responsible for building the roadmap along with execution with the team\n• Building a strategy to ensure that we meet our hiring goals while maintaining a high standard of candidate experience\n• You will collaborate closely with GTM leadership, hiring managers and stakeholders to understand their needs and deliver exceptional talent solutions\n• Building and scaling a high-performing GTM recruiting function will be key to our long term success\n• Your ultimate goal is to lead our GTM leaders to success\n• Strategic planning: develop and implement global GTM recruitment strategies that align with our business objectives and growth plans\n• Team leadership: lead, mentor, and manage a team of recruiters, fostering a collaborative and high-performing environment\n• Process optimization: continuously refine and optimize our recruitment processes to enhance efficiency and effectiveness\n• Stakeholder collaboration: partner with hiring managers and stakeholders to understand their hiring needs and provide regular updates on recruitment progress\n• Talent sourcing: oversee the sourcing of candidates through various channels, including job boards, social media, and professional networks\n• Candidate experience: ensure a positive and seamless candidate experience throughout the recruitment process, from initial contact to onboarding\n• Data-driven decisions: utilize recruitment metrics and data to inform decision-making, identify trends, and drive process improvements\n• Employer branding: enhance our employer brand by promoting our company culture, values, and benefits through various channels

Mid-Market Customer Success Manager

Director, Public Relations

Director, Public Relations

Senior Partner, Product Marketing

Product Manager, Ecosystem

Product manager, ecosystem

Product manager, growth

Product Manager, Growth

Product Manager, Admin

Product manager, supervise

Deal desk analyst

Deal desk analyst

Security engineer, detection and response

Security engineer, application security

Security engineer, application security

Security Engineer, Detection and Response

Security engineer, enterprise security

Security Engineer, GRC

Security Engineer, GRC

Software security engineer, embedded

Software security engineer, embedded

Security engineer, enterprise security

Business Recruiter

Senior Director, GTM Recruiting

Senior director, GTM recruiting