Senior Product Manager II, AI Content at BOLD LLC
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

180000.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

United States (Remote)
Product
As a Senior Product Manager II, you will lead the development of cutting-edge AI and LLM-powered products that transform how we deliver personalized content and experience to our customers. As a senior member of our product team, you will partner closely with engineering, data science, design, and frontend teams to build differentiated products powered by AI and large language models. You will drive the full product lifecycle, from strategy and vision to execution, measurement, and scaling, ensuring that our AI innovations are not only technically excellent but also deeply customer-centric and business-impactful.

Responsibilities
  • Own and drive the end-to-end product vision, strategy, and execution for generative AI features and platforms across multiple content surfaces
  • Guide the prompt engineering lifecycle, from ideation and authoring to evaluation and iteration, with rigorous feedback loops and metrics
  • Lead cross-functional collaboration with backend and frontend engineering, design, data science, and ML operations (MLOps) to deliver high‑quality, scalable AI experiences
  • Define and manage quarterly roadmaps tailored to both internal platform enhancements and customer-facing capabilities, prioritizing based on business impact, user signal, and operational feasibility
  • Drive and evangelize best practices for LLM prompt ops, model governance, and responsible AI, balancing innovation with ethical constraints
  • Act as a domain expert in AI-powered content, guiding stakeholders through the evolving generative AI landscape (e.g., memory‑enabled agents, token management, multimodal signals)
  • Model and champion best practices in product management: actively share expertise, promote a culture of experimentation, and help embed rapid prototyping as a core approach to developing AI solutions
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