Hybrid - Staff Product Manager Workforce Scheduling - Mountain View, CA

Overview

Hybrid
$40 - $60
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Product Manager
Staff Product Manager
Workforce Scheduling
Workforce Optimization
Customer Success
Expert Management
Operational Efficiency
Service Operations
Scheduling Platform
Product Vision
Product Roadmap
Feature Ownership
End-to-End Delivery
Problem Identification
Solution Definition
Platform Features
Cross-Functional Collaboration
Stakeholder Management
Product Lifecycle
Program Leadership
Innovation
Data-Driven Decision Making
KPIs
Operational Systems
SQL
Analytics
Data Modeling
Scheduling Patterns
Backend Platform
Front-End Products
AI/ML
Optimization
Automation
Prompting
Technology Exploration
7+ years Product Management experience
Matrixed Organization
Customer-Driven Products
Bachelors in Computer Science
Engineering
Operations Research
Technical Field

Job Details

Job Title: Staff Product Manager Workforce Scheduling (High Priority)
Location: Mountain View, CA (Hybrid)
Company: Intuit | Expert Management Team, Customer Success

About the Team:

Join Intuit s Customer Success organization and help transform the professional services industry. We re leading the way with data-driven, technology-enabled operations that empower a distributed expert workforce to deliver exceptional customer experiences.

As part of the Expert Management team, you'll play a key role in shaping our Workforce Scheduling Platform, a critical system that ensures optimal deployment and utilization of our growing professional network.

Role Overview:

We're looking for an experienced, entrepreneurial, and collaborative Staff Product Manager to drive strategy and execution for our intelligent scheduling platform. In this high-impact role, you ll be responsible for identifying complex scheduling challenges, defining scalable solutions, and leading cross-functional teams to build and deliver innovative capabilities.

You will collaborate with engineering, data science, design, and Customer Success leaders to build the future of our expert workforce platform powering efficiency, automation, and exceptional expert experiences.

Key Responsibilities:

  • Product Strategy & Roadmap: Contribute to and execute the vision and strategic roadmap for the Workforce Scheduling Platform in alignment with Customer Success priorities.

  • Problem Discovery & Solution Design: Identify complex operational inefficiencies and transform them into clear, actionable product requirements and scalable solutions.

  • End-to-End Feature Ownership: Lead the development and delivery of major platform capabilities in collaboration with engineering, design, and analytics partners.

  • Data-Driven Decision Making: Leverage advanced analytics and data insights to evaluate scheduling patterns, measure product impact, and continuously optimize performance.

  • Cross-Functional Leadership: Partner across teams to gather requirements, align priorities, manage dependencies, and ensure successful, coordinated product launches.

  • Innovation & Emerging Technologies: Explore AI/ML-based optimization methods and cutting-edge technologies to increase automation and enhance scheduling intelligence.

Qualifications:

  • 7+ years of Product Management experience, with a strong track record of delivering scalable platforms or complex operational systems.

  • Proven success working within matrixed organizations and leading cross-functional initiatives.

  • Expertise managing both backend platform systems and user-facing product lifecycles.

  • Strong analytical capabilities; proficiency in SQL or other data analysis tools to drive decisions.

  • Skilled in defining product KPIs, measuring impact, and ensuring accountability in execution.

  • History of building products that create excellent customer and expert experiences with measurable business outcomes.

  • Bachelor s degree in Computer Science, Engineering, Operations Research, or a related technical discipline.

  • Familiarity with AI/ML concepts and how to apply them to solve complex operational and scheduling challenges.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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