Director of Applied AI Product
J
JobgetherArtificial Intelligence
Based in the United StatesFull-TimeDirector
Salary120,000 - 160,000 USD per year
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Job Details
- Required Skills
- SQLArtificial IntelligenceChange Management
Requirements
- Proven director-level product leadership experience with ownership of product strategy, discovery, roadmap development, and end-to-end delivery.
- Demonstrated experience building products using modern AI technologies, including hands-on experience with AI agents, agentic frameworks, or AI-powered workflows.
- Strong track record of shipping products that achieve measurable business outcomes and gain meaningful user adoption.
- Ability to prototype quickly and work directly with AI tools, modern software technologies, and data systems.
- Strong technical understanding of data platforms, SQL, modern data warehouses, and contemporary web technologies.
- Experience making technical decisions, evaluating architecture, and collaborating effectively with engineering teams.
- Ability to combine product strategy with hands-on execution, balancing vision with practical implementation.
- Strong user research and discovery skills, with the ability to identify challenges, validate solutions, and improve products based on feedback.
- Excellent communication and leadership skills, with the ability to influence executives, engineers, and cross-functional stakeholders.
- Experience operationalizing product launches through documentation, enablement, rollout planning, and change management.
- Comfortable working in a fast-paced, remote environment where experimentation, autonomy, and rapid iteration are encouraged.
Responsibilities
- Define and evolve the AI product vision, strategy, and roadmap by evaluating opportunities, challenging assumptions, and identifying where AI can create meaningful business value.
- Build and ship AI-powered products and workflows rapidly, moving from concepts and prototypes to production-ready solutions using modern AI tools and technologies.
- Develop agentic workflows and AI-driven capabilities that solve real user problems and improve operational efficiency.
- Partner closely with engineering and data teams to establish technical approaches, make build-versus-buy decisions, and ensure solutions are secure, scalable, and production-ready.
- Lead product discovery by deeply understanding user needs, validating assumptions, gathering feedback, and continuously improving solutions based on real-world usage.
- Own measurable outcomes by connecting product initiatives to business impact, including customer value, adoption, efficiency, retention, and revenue growth.
- Drive successful product adoption through thoughtful rollout strategies, documentation, communication plans, and enablement programs.
- Establish strong cross-functional alignment across product, engineering, data, operations, and leadership teams while maintaining visibility into priorities and progress.
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