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Solutions Engineer

• Lead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagements
• Drive the successful adoption and deployment of WRITER's generative AI platform by overseeing key pre-sales technical engagements, including use case discovery, proof-of-concept execution, and value realization for strategic customers
• Partner closely with sales leadership and go-to-market teams to develop strategic account plans, define compelling technical value propositions, and accelerate pipeline growth for WRITER's solutions
• Act as an executive technical sponsor for WRITER’s most strategic accounts, building strong relationships with C-level stakeholders and becoming their trusted advisor in AI strategy and implementation
• Influence WRITER's product roadmap by gathering critical market insights and customer feedback, ensuring our platform continuously addresses evolving enterprise AI needs
• Architect robust, scalable, and secure AI solutions for diverse enterprise environments, integrating WRITER's platform with complex customer data ecosystems and existing technical stacks
• Transform how we facilitate customer evaluations and proofs of concept, implementing best practices and scalable processes that demonstrate clear ROI and accelerate time-to-value for our clients

Director, Solutions Architecture

AI Research Scientist

• Lead an independent, high-impact research agenda on large language models and agentic systems, owning projects from early hypothesis through model training, evaluation, and production deployment
• Design and execute large-scale post-training experiments using supervised fine-tuning, reinforcement learning from human feedback (RLHF), RLAIF, DPO, and emerging alignment techniques — with a focus on improving multi-step reasoning, planning, and tool use in enterprise agentic workflows
• Build novel evaluation benchmarks and methodologies that push beyond existing limitations, establishing rigorous measures for how well models perform on complex, real-world enterprise tasks
• Develop scalable data synthesis and curation pipelines that generate the high-quality training signal driving model improvement — including LLM-as-judge frameworks, synthetic data generation, and adversarial dataset construction
• Shape WRITER's model architecture and training roadmap by translating your research insights into concrete improvements to our enterprise-grade LLMs, working hand-in-hand with research engineering and product teams
• Publish and present original research at top-tier venues — NeurIPS, ICLR, ICML, ACL, and others — representing WRITER at the frontier of the field and contributing to the broader scientific community
• Mentor and uplevel fellow researchers and engineers on the team, helping set a high bar for scientific rigor, experimental design, and research culture

Staff AI Research Scientist

Full-stack Engineer

• Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation.
• Contribute to the design and evolution of our AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems.
• Own backend service design for high-throughput, low-latency APIs that enable reliable agent workflows and complex cross-system orchestration.
• Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance.
• Partner with product and cross-functional engineering leaders to shape roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities.
• Lead production excellence through a metrics-first reliability strategy, defining and enforcing SLOs/SLAs, maturing observability, and driving resilience, incident readiness, and performance optimization at scale.
• Raise the engineering bar through architecture reviews, pragmatic design standards, rigorous testing strategy, and mentorship of senior and mid-level engineers.

Software Engineer, Connectors & MCP

QA Engineer

• Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.
• Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python.
• Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.
• Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.
• Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.
• Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.
• Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.
• Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution.
• Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP).
• Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution.

Software Quality Engineer

Account Executive

• Drive net-new revenue by managing the full sales cycle for WRITER’s enterprise AI agent platform
• Prospect, qualify, and develop new enterprise opportunities in target verticals and target account lists
• Partner cross-functionally to refine value propositions and co-create tailored solutions for enterprise clients
• Guide executive-level discussions and negotiations, ensuring alignment with customer business goals
• Own your book of business with a high degree of accountability and a bias for long-term impact
• Collaborate closely with product and customer success teams to ensure smooth deployments and ongoing value
• Consistently input accurate pipeline data to forecast and report sales progress to leadership
• Become a trusted product expert, educating users on how to set up WRITER to unlock value, going hands-on where needed

Enterprise Account Executive – East

Support Engineer

• Own the triage and resolution of complex customer production issues through Salesforce, email, Slack, and Zoom
• Guide technical end users directly by debugging and refining custom-built Python and no-code agents
• Serve as Tier 2 advanced support to monitor and tackle complex production issues through our monitoring alerts
• Drive technical investigations across our stack and escalate deeper technical issues to product and engineering teams
• Shape our product roadmap by gathering and sharing platform feedback and feature requests with product and design teams
• Build and maintain automated diagnostic tools and scripts to scale our support operations and reduce resolution times

Customer Success Manager

• Drive industry leading growth and retention by owning ambitious NRR and GRR goals, tying every expansion to quantifiable business outcomes
• Lead, scale, and develop a high-performing CSM team across Strategic, Enterprise, and Mid-market segments—hiring exceptional talent and building clear career paths. Have a dotted line to other post sales organizations
• Design and operationalize a regional success model that becomes the global blueprint - playbooks, metrics, and governance that scale
• Build trusted partnerships with CIOs, CMOs, and business leaders at companies like Goldman Sachs, Accenture, and Hilton, positioning WRITER as mission-critical infrastructure
• Collaborate cross-functionally with Sales, Product, Marketing, and Solutions architecture to co-create account strategies that deliver measurable ROI
• Champion operational excellence through disciplined forecasting, success planning, and data-driven decision-making
• Represent the voice of the customer at the highest levels, influencing product direction and innovation

VP, Customer Success – EMEA

• Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
• Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platform
• Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production
• Implement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences
• Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability
• Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews

Software Engineer, Generative AI

• 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

AI Engineer

• Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.
• Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.
• Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.
• Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.
• Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.

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

• 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