обновлено 9 дней назад
Director, Engineering, Agentic Content Management (AI)
217 900 - 448 500$
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
Salary: $217,900–$448,500 per year, plus eligibility for an annual bonus and equity award.
Company
provides a cloud compliance platform for tax and regulatory operations, processing customer API calls and tax returns at global 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 for orchestration, APIs, integrations, and content systems, including MCP where appropriate.
- Establish human-in-the-loop operating models, engineering metrics, governance, security, and responsible AI practices.
- Build and develop a high-performing engineering organization while partnering with Product, Content Research, Applied AI, Architecture, and business stakeholders.
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 distributed systems, APIs, workflow orchestration, integrations, event-driven architectures, and human-in-the-loop workflows.
- Experience with LLMs, agent-based systems, RAG architectures, Python, modern AI application frameworks, and cloud-native systems on AWS, Azure, or GCP.
- Experience with MLOps, CI/CD, evaluation pipelines, monitoring, model lifecycle management, platform reliability, scalability, and operational excellence.
Nice to have
- Experience delivering complex platform transformations with measurable business outcomes.
- Experience applying AI to engineering execution, planning, observability, and operational workflows.
Culture & Benefits
- AI is embedded in workflows, decision-making, products, and everyday business challenges.
- Paid time off and paid parental leave.
- Benefits may include medical, life, and disability insurance, depending on location.
- Inclusive culture supported by employee resource groups and senior leadership sponsorship.
- Annual bonus and equity eligibility may apply based on the applicable plans and role.
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