The Head of Enterprise Account Management will lead the growth of strategic customer accounts while managing and developing the account management team. This role involves driving expansion, increasing net revenue retention, and building deep, multi-year partnerships with enterprise clients.
Architect and implement scalable backend systems that integrate with LLMs and agentic workflows. Manage cloud-native AI applications while ensuring security, performance, and compliance through robust monitoring and CI/CD practices.
Lead live enablement workshops and hands-on training sessions to drive the adoption of Claude and Anthropic technologies across diverse client teams. Manage the end-to-end delivery of enterprise rollout programs, including scheduling, stakeholder alignment, and tracking adoption metrics.
Lead technical discovery calls and design ML/AI system architectures to translate client business problems into deliverable solutions. Partner with Account Executives to scope engagements, build technical proposals, and ensure a smooth handoff to delivery teams.
You will own and evolve the Software Engineering Center of Excellence by designing operational frameworks and driving technical mentorship. The role involves managing complex software projects, coaching engineering leads, and ensuring high-quality delivery across client engagements.
Lead the strategy, design, and execution of technical training programs to scale engineering talent development. Optimize training operations and establish measurement frameworks to ensure high-quality technical output and ROI.
Lead the end-to-end development of project proposals and SOWs by translating client needs into structured technical engagements. Build and standardize service delivery kits, templates, and automated workflows to improve operational efficiency in the pre-sales process.
Serve as a trusted advisor to managers and employees, focusing on employee relations, performance coaching, and workplace conflict resolution. Partner with business leaders to align HR strategies with company objectives and drive employee engagement.
Design and architect a scalable full-stack core platform known as 'Factored OS' to serve as the foundation for internal tools. Lead technical strategy, mentor junior engineers, and implement secure RBAC systems and API integrations.
Architect and develop autonomous AI agents capable of planning, tool-use, and self-correction using patterns like ReAct. Implement robust memory systems, evaluation frameworks, and guardrails to ensure efficient and safe multi-step workflows.
Design, develop, and maintain scalable data pipelines, ETL processes, and data models to support business operations. Collaborate with stakeholders and data scientists to ensure data quality and implement data-driven visualizations.
The MLOps Engineer will deploy machine learning models to production environments and design automated workflows for model training and deployment. They will also manage infrastructure and establish monitoring systems for model performance.
