[Hiring] Senior Product Manager, Enterprise AI @TrueBlue

Role Description

PeopleReady is expanding its BI, ML, and AI capabilities to help achieve the organization's long-term objectives. We're looking for an experienced Sr. Product Manager to help build and manage our AI Service offerings. You will act as the conduit between the business and technology teams, balancing strategic priorities with system stability and defining complex data-related requirements. You’ll be the champion of product-led AI, including large language model (LLM) and Data Science/Machine Learning applications, the platforms and APIs that deliver them, and our Data Analytics and Business Intelligence initiatives.

If you have the drive to build incredible, data and insights-driven products that impact the lives of our customers and associates daily, this would be the optimum role for you.

Location: This is a remote opportunity, but applicants must reside in the greater Seattle area.

Qualifications

• 3+ years of product management or similar experience with Machine Learning, Business Intelligence, and Analytics offerings, including hands-on exposure to AI/ML platforms or LLM-powered products.
• Experience building and delivering machine learning, business intelligence, or data analytics offerings from the ground up.

Requirements

• Demonstrated ability to think globally and strategically and frame new and complex issues, recommend strategic choices, and focus the organization on the most critical and value-added activities.
• Excellent leadership skills, with a team-player attitude to drive the end-to-end solution of use cases under time pressure.
• Strong communications skills and ability to break down complex information into relevant, digestible points for colleagues and executives.
• Strong analytical, problem-solving, and product management skills.
• Entrepreneurial self-starter excited to shape new solutions.
• Undergraduate degree in engineering or quantitative analysis and demonstrated experience in technical creativity, planning, and communications is valuable. An advanced degree in business administration, statistics, or similar quantitative fields is preferred.

Preferred Skills

• Previous experience in building pricing-related solutions.
• Previous experience in staffing or similar industry.
• Working knowledge of common machine learning models, large language models (LLMs) and generative-AI tooling (e.g., prompt engineering, retrieval-augmented generation), and data engineering and analysis tools such as Python, Spark, data visualization, and business intelligence.
• Working knowledge of Cloud Native database technologies such as those in the AWS product offering – Amazon Quicksight, PostgreSQL.
• Familiarity with productizing AI platforms — APIs, shared services, MLOps/LLMOps pipelines, and the build-vs-buy tradeoffs around model hosting and vendor models.

Technical Knowledge Expectations

• Ability to read and validate SQL queries and basic data models well enough to assess feasibility and translate requirements for engineering.
• Working understanding of the ML/LLM development lifecycle — data collection, model training/fine-tuning, evaluation, deployment, and monitoring.
• Familiarity with API design principles and RESTful/GraphQL services sufficient to scope platform and integration requirements.
• Working knowledge of data architecture concepts, including data warehousing, ETL/ELT pipelines, and data governance practices.
• Comfort evaluating technical trade-offs (build vs. buy, latency vs. cost, accuracy vs. interpretability) in partnership with business, engineering, and data science.
• Ability to review technical documentation, architecture diagrams, and API specifications directly, without requiring translation from engineering.

Preferred Certifications

• AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics – Specialty, or an equivalent cloud/ML certification.
• Certified Scrum Product Owner (CSPO) or a comparable Agile/Scrum product certification.
• Product management certification from a recognized program (e.g., Pragmatic Institute, Product School, AIPMM).

Supervisory Responsibilities

This position will not have any direct supervisory responsibilities.

Salary Range

$122,400 - $153,000 annually, depending on experience and geographic location. Please note that actual compensation offered may vary based on local pay requirements, and will meet or exceed state-specific minimum wage or salary thresholds.

Benefits

• Competitive benefits package, including 6 paid holidays, 1 paid floating holiday, and up to 20 days of Paid Time Off per year.
• Medical/Dental/Vision insurance.
• Company-matching 401(k) and Employee Stock Purchase Program.
• Other programs and perks.