Staff Product Manager, AI

True Talent Solutions Partners•Palo Alto, CA

18h•$200,000 - $270,000•Onsite

About The Position

Lead product development for AI capabilities in a social commerce platform. Work closely with engineering, design, and customer-focused teams to turn customer needs into useful AI workflows and measurable product outcomes. Own AI product development from discovery through launch, including generative prompting workflows and data-driven decision engines. Define and track measures such as accuracy, conversion, and automation impact, and use results to guide improvements. Identify opportunities for AI-powered social engagement, personalization, and prompting strategies. Ship, learn, and iterate quickly while owning significant projects in an evolving environment. The role is on-site in Palo Alto, California, four days per week: Monday, Tuesday, Thursday, and Friday. Base salary is $200,000 to $270,000 annually. Visa sponsorship is available.

Requirements

Five or more years of product management experience, including at least three continuous years in product manager roles.
Current product management experience building AI-forward products, with strong proficiency in AI product development.
Experience with consumer products in social, shopping, influencer, or creator economy spaces.
Experience at a high-growth startup, including 0-to-1 product work in an early- or growth-stage company.
Proficiency with rapid prototyping or vibe coding.
A record of clear career progression.
Comfort with ambiguity, fast execution, and customer-facing product work.

Responsibilities

Own AI product development from discovery through launch, including generative prompting workflows and data-driven decision engines.
Partner with engineering, design, and customer-focused teams to build and improve AI capabilities.
Define and track measures such as accuracy, conversion, and automation impact, then use results to guide improvements.
Identify opportunities for AI-powered social engagement, personalization, and prompting strategies.
Ship, learn, and iterate quickly while owning significant projects in an evolving environment.