Senior Director, New Product Development (AI)
New
Based in the United StatesFull-TimeDirector
Salary190,000 - 215,000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- Prompt EngineeringGenerative AI
Requirements
- 8+ years of experience in digital product leadership, with strong recent focus on generative AI implementation and AI-powered product development.
- Deep expertise across the AI development lifecycle, including prompt engineering, RAG systems, API orchestration, and model integration.
- Proven experience building products using low-code/no-code platforms and AI-assisted development tools.
- Strong ability to rapidly prototype and launch AI-driven applications in fast iteration environments.
- Solid understanding of data privacy, intellectual property, and compliance considerations in AI-enabled products.
- Experience working in legal tech, edtech, or other knowledge-intensive professional domains is strongly preferred.
- Exceptional product thinking with the ability to connect technical architecture to user and business value.
- Strong communication skills and ability to collaborate across product, innovation, and technical stakeholders.
- High bias for execution, experimentation, and delivering working solutions over long planning cycles.
Responsibilities
- Lead the end-to-end design and delivery of AI-native products, building MVPs and scalable solutions using generative AI, LLM orchestration, and low-code/no-code platforms.
- Establish and operationalize a rapid prototyping environment (“Rapid MVP Lab”) to accelerate experimentation, validation, and deployment of AI-driven product ideas.
- Translate early-stage innovation concepts into production-ready applications, ensuring alignment with product strategy and user needs.
- Partner closely with product management and innovation teams to define roadmaps, evaluate model selection (e.g., OpenAI, Gemini, open-source), and shape go-to-market execution.
- Ensure all AI-driven products meet strict standards for legal accuracy, ethical use, data governance, and regulatory compliance.
- Oversee AI cost efficiency, API usage optimization, and scalability considerations across all products.
- Define architectural direction across AI systems, ensuring modular, connected product experiences that solve complex professional workflows.
- Drive rapid iteration cycles, prioritizing functional AI-enabled products over long development timelines.
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