обновлено 1 день назад
Director, Engineering, Agentic Content Management (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Engineering, Agentic Content Management (AI) (AI-assisted content platform): Build and scale the Agentic Content Studio Platform for sourcing, validating, maintaining, and consuming global tax and compliance content with an accent on platform architecture, workflow automation, and responsible AI adoption. Focus on designing agent-based workflows, human-in-the-loop review models, reliable integrations, and measurable improvements in scalability, quality, and operational efficiency.
Location: United States
Company
provides a cloud compliance platform that helps businesses manage tax and regulatory requirements, processing customer API calls and tax returns at large scale.
What you will do
- Define the engineering vision, architecture, and delivery roadmap for the Agentic Content Studio Platform.
- Build scalable platform capabilities for global tax and compliance content across multiple domains.
- Lead AI-assisted workflows for content sourcing, extraction, transformation, validation, and maintenance.
- Design secure, observable, resilient services covering orchestration, APIs, integrations, and content systems.
- Enable downstream products such as AvaTax, ATC, and ATR to consume platform capabilities through standardized interfaces, including MCP where appropriate.
- Build and develop a high-performing engineering organization while driving responsible AI adoption and measurable operational outcomes.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 12+ years of software engineering experience, including large-scale platforms or distributed systems.
- 5+ years leading engineering managers and senior engineers in complex, cross-functional organizations.
- Experience with platform strategy, architecture, distributed systems, APIs, workflow orchestration, integrations, and event-driven architectures.
- Experience with LLMs, agent-based systems, RAG architectures, or equivalent AI platforms, plus strong Python and modern AI application framework experience.
- Experience with cloud-native systems on AWS, Azure, or GCP and MLOps practices such as CI/CD, evaluation pipelines, monitoring, and model lifecycle management.
Nice to have
- Experience building human-in-the-loop workflows and operational observability platforms.
- Experience delivering complex platform transformations with measurable business outcomes.
Culture & Benefits
- AI is embedded in workflows, decision-making, and products.
- Compensation package with paid time off, paid parental leave, and potential bonuses.
- Benefits generally include private medical, life, and disability insurance, varying by location.
- Inclusive culture supported by employee resource groups with senior leadership and executive sponsorship.
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