6 дней назад
Senior Technical Product Manager (AI Content Operations)
140 000 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Product Manager (AI Content Operations) (AI, Sanity CMS, Node, TypeScript): Building AI-powered tools that streamline content workflows from research and drafting through review, publishing, and optimization with an accent on headless CMS architecture, functional prototyping, and product adoption. Focus on integrating model APIs with Sanity and other content systems, making build-versus-buy decisions, and shipping tools into the daily workflows of marketing and learning teams.
Location: Chicago, United States
Salary: $140,000–$221,000 per year; expected OTE of $156,000–$245,000 per year, including bonus or commission.
Company
is a customer engagement SaaS platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.
What you will do
- Own the AI content operations product roadmap, deciding what to build, buy, or discontinue.
- Embed with marketing and learning teams to understand content workflows and identify high-value automation opportunities.
- Ship AI-powered tools for metadata generation, document-to-CMS conversion, content review, quality checks, research assistance, and asset generation.
- Build functional prototypes independently to validate concepts before engineering investment.
- Drive adoption by integrating tools into daily content workflows and measuring usage.
- Partner with engineering and the Sanity platform investment to connect CMS, analytics, model providers, and internal services.
Requirements
- Experience with modern content operations, including content calendars, review and approval, SEO, localization, and asset management.
- Deep familiarity with headless CMS architecture; Sanity experience is a strong plus.
- Comfort with Node, TypeScript, modern web frameworks, and independently building simple web applications and prototypes.
- Experience using AI development tools such as Claude Code or Cursor and working with model APIs.
- Ability to evaluate, prompt, and integrate LLMs into real workflows and collaborate closely with engineering.
- Experience shipping internal tools and reasoning about multi-system architecture and long-term design tradeoffs.
Nice to have
- Background as a product manager, solutions architect, solutions consultant, engineer, or content management and operations specialist.
- Practical opinions about where AI is useful in content workflows and where it is not yet effective.
Culture & Benefits
- Collaborative, transparent culture emphasizing autonomy, accountability, curiosity, and teamwork.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Retirement and employee stock purchase plans, equity eligibility, and paid parental leave.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Employee resource groups, community volunteering, and donation matching.
Hiring process
- AI-assisted tools may be used to analyze application materials, support scheduling, record interviews, and summarize interview notes.
- Recruiting teams remain involved in hiring decisions; candidates may have location-dependent rights to request manual review or opt out of AI-assisted review.
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