Staff Product Manager

Summary

Join People.ai as the SalesAI Forecasting Product Lead and spearhead the creation of next-generation forecasting tools. You will define the product vision and roadmap, lead cross-functional development with engineers, data scientists, and designers, and drive user-centric design based on user research. This role requires coordinating stakeholder alignment, evangelizing the product by defining and tracking KPIs, and ensuring a balanced solution considering user needs, technical constraints, and business objectives. The ideal candidate will have extensive experience in product management, a strong background in AI/ML-driven products, and deep understanding of sales processes. People.ai offers a unique opportunity to work in a high-growth environment with a team of creative and critical thinkers.

Requirements

• Years of Experience: Minimum of 8–10 years in product management, with at least 3 years in a senior or staff-level role
• Education: Bachelor’s degree in a technical field (e.g., Computer Science, Computer Engineering, and similar). A Master’s degree is not required but a plus
• AI/ML Background: Proven experience working with AI/ML-driven products, particularly in sales or forecasting tools
• Sales Domain Expertise: Deep understanding of sales processes, CRM systems, and sales forecasting methodologies
• Enterprise Experience: Experience building and scaling enterprise-grade software products
• Start-Up Experience: Experience building products in a high-growth or start-up environment

Responsibilities

• Define Product Vision and Roadmap - Create and communicate a compelling long-term vision for the forecasting product
• Lead Cross-Functional Development - Collaborate with engineers, data scientists, and designers to build AI-driven forecasting features
• Drive User-Centric Design - Conduct user research to understand the specific needs and pain points of sales teams and revenue leaders
• Coordinate Stakeholder Alignment - Manage trade-offs between user needs, technical constraints, and business objectives to deliver a balanced solution
• Evangelize the Product - Define and track key performance indicators (KPIs), such as forecast accuracy, user adoption, and engagement