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hellohomeAI


Jobs

Hands-on Project: Product Marketing and Communications Associate

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Posted on: January 4, 2021 Apply Now
Full-time Finance, Consulting, Entrepreneurship & BusinessExpires January 26, 2021

Scope of role is defined as a semester long project which requires progressive iteration to home in on the optimal applicable revenue model which yields the most effective ROI (e.g. LTV/CAC) for hellohomeAI. The project is intended for college course credit, as approved by the student’s advisor.

Required reading (book supplied by hellohomeAI): Sell More Faster by Amos Schwartzfarb.

Project scope:

  1. Define hypothetical revenue models for hellohomeAI (Ref: https://techstars.wistia.com/medias/kw3ovgljob and Sell More Faster by Amos Schwartzfarb)
  2. Define user personas (potential home buyers, buying agents, brokers). – Align personas to near-term and long-term product roadmap where applicable
  3. Identify cost and metrics for each marketing channel to assess viability
  4. Prioritize order of testing for revenue model variables
  5. Define and generate the necessary marketing content and material. – Iterate as needed after feedback
  6. Iterate testing for each revenue model parameters (you will not be performing any selling etc., these may be parameters within a defined revenue model), including but not limited to research and inclusion of: – Cold: calling/emailing/messaging, – Postal (yes, the kind that is delivered by hand), – Social media paid ad (facebook/IG/twitter/LI). (Note that A/B testing is too granular for this project and is out of scope)
  7. Plan for 1:1 check-in’s weekly, or as-needed, and keeping an open line of communication with hellohomeAI’s CEO (email/Slack/video conf.)
  8. Project starts on or about Feb. 1st and completion on or about April 30th.

Please note that the full-time hellohomeAI employees will own the execution of sales related efforts and the student will co-own the revenue model generation with the CEO along with making adjustments based on feedback and insights from the data generated.

Happy to chat further with your professor and/or advisor to discuss how this may be a great opportunity to get some hands-on experience which may be directly applicable after graduation.

Apply Now
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