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The position of AI Product Manager is offered by ELVTR, an online education company that focuses on creating premium live online courses taught by top executives and industry experts. This role emphasizes the transformation of the online education industry by focusing on innovative course offerings. ELVTR operates across various business domains such as Sales, Marketing, Production, Instructor Sourcing, Student Support, Finance, Creative, and Engineering. The company is constructing a new product function that will begin with AI-native internal tools and will eventually expand into products directly utilized by students.
The reason for the existence of this role is rooted in the advancements offered by AI development tools. In the contemporary software landscape, understanding genuine business problems and deriving effective product solutions is pivotal, as traditional coding barriers fade away. By utilizing AI-native tools such as Claude and Claude Code as the primary workflow, the AI Product Manager is tasked to rapidly deliver solutions and cater to real users, primarily starting with internal teams and then the broader ELVTR student community.
The AI Product Manager will start with developing internal tools and workflow products that could range from:
As the role matures, it will transition into the development of student-facing products, which includes areas like the student platform experience, AI learning tools, and various operational workflows regarding enrollment and payment processes.
The responsibilities entail:
Product Solution Design: This involves converting business pain points into practical product ideas, including detailed user flows, workflow logic, and feature sets.
Specification Writing Using AI: Utilizing tools such as Claude and Claude Code will enable the creation of comprehensive and detailed PRDs and specifications that lead the development process.
Prototyping: A hands-on approach is encouraged where the AI Product Manager is expected to build or co-build prototypes employing AI-assisted methods.
Collaboration with Engineers: For intricate builds, collaboration with the engineering team is imperative, ensuring all technical aspects like data architecture, APIs, and security are effectively handled.
Driving Product Adoption: Encouraging the usage of newly developed tools by internal teams is emphasized as a top priority. User training, feedback collection, and iterative improvement form the crux of this responsibility.
Within the first 90 days, success will be gauged by the candidate's ability to:
Candidates are expected to have:
Additional qualifications that would set candidates apart include:
The hiring process emphasizes practical experience:
ELVTR offers a combination of competitive salary and performance bonuses, comprehensive benefits like gym membership reimbursements, flexible work arrangements, and abundant opportunities for professional growth and development. They value contributions highly and foster an environment of support and encouragement for their employees.
If you are a detail-oriented professional ready to contribute to revolutionizing online education platforms, consider applying to become the AI Product Manager at ELVTR. Elevate your career while making meaningful contributions to a forward-thinking team.
This job offer was originally published on himalayas.app
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