Replicant

Senior Product Manager

Replicant

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
AI Apply
Manual Apply

Job Level

Senior

About the role

  • Replicant builds AI-powered conversation intelligence and AI agents for contact centers to resolve requests, identify issues, and improve agent performance
  • Company AI agents handle millions of calls monthly for Fortune 500 and high-growth customers, performing tasks like processing payments, booking appointments, and authenticating users
  • Drive the vision and strategy for Replicant's agentic AI conversation platform and deliver differentiated automation products
  • Engage with customers and end-users to understand needs and translate insights into product enhancements and new automation opportunities
  • Lead initiatives for Conversation Automation product and translate vision into practical experiments and products
  • Work with cross-functional Engineering, Design, Machine Learning, and GTM teams to deliver generative AI-powered solutions
  • Define and measure business outcomes and metrics from deployed solutions
  • Conduct research and competitive analysis in LLMs and AI to keep Replicant a leader in the space
  • Collaborate with cross-functional business partners and company leadership

Requirements

  • 5+ years of product management experience with a track record of exceptional product delivery that delighted customers
  • An owner mentality that is willing to get into the weeds to ensure the right product is delivered
  • Deep data orientation with experience making data driven decisions including defining the right KPIs and setting aggressive goals
  • Experience bringing structure to unstructured bodies of work, developing strategy, and adapting to change
  • Excellent communication skills, with an ability to collaborate and influence cross-functional stakeholders
  • Nice-to-have: 1+ years experience in AI/ML
  • Nice-to-have: Previous experience at a high-growth startup
  • Nice-to-have: Experience working in research or other development programs with very high ambiguity, technical complexity, and risk