Product Management Intern focused on Retail Sales and Demo Conversion at Tonal. Aiming to enhance retail associates' tools and customer demonstration experience in a 12-week internship.
Responsibilities
Review existing research, retail notes, and product documentation to understand the current sales process and its gaps
Conduct interviews with retail associates to surface the most common close-stage objections and missing proof points
Assess the current state of the Sales Companion Website and Tonal's retail demo mode
Define the highest-leverage opportunities and align stakeholders on a prioritized plan
Drive an MVP of a lightweight companion experience for associates to use on iPads or laptops during or after demos
Ensure the tool helps associates address common objections with clearer pricing, membership framing, transformation stories, feature explainers, install guidance, and outcome proof
Identify and prioritize targeted improvements to Tonal's demo mode, including things like more realistic stats, better surfacing of Daily Lift, stronger progress proof, and a more personalized, outcome-oriented experience
Write clear product requirements that translate associate and customer needs into actionable engineering work
Manage trade-offs between impact, effort, and time-to-ship
Requirements
Currently pursuing a degree in business, engineering, design, or a related field
Strong product instincts: you can identify user needs, frame problems clearly, and translate them into actionable solutions
Analytically rigorous and able to back decisions with data
An effective communicator who can synthesize research, align stakeholders, and write crisp product specs
Comfortable with ambiguity and able to make progress without a fully defined playbook
Collaborative across design, engineering, and go-to-market teams
Prior PM internship or product-adjacent experience (design, strategy, research, etc.)
Familiarity with retail, consumer hardware, or fitness/health products
Experience with user research or usability testing
Exposure to agile or sprint-based development workflows
Experience using AI tools to accelerate research, writing, or product work.
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