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Ai Product Manager Jobs in Renton, WA (NOW HIRING)

Trueblue

Sr. Product Manager, Enterprise AI

Seattle, WA · On-site

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

TrueBlue, Inc.

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

RenewableWorks

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

PitchBook

Sr. Manager, Product Management

Seattle, WA · On-site

$144K - $190K/yr

PitchBook, a Morningstar company, is seeking a Sr. Manager of Product Management to lead their ... Partner with Engineering, AI/ML, Design, and Data leaders to execute against roadmap commitments ...

Headway

Staff Product Manager, AI Patient Experience

Seattle, WA · On-site +1

$265K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About The Role You will be the first dedicated AI Product Manager on the Patient side at Headway. Your mission: build AI-powered products that help patients find the right therapist, stay engaged in ...

PitchBook Data

Sr. Manager, Product Management

Seattle, WA · On-site

$144K - $190K/yr

  • Medical

  • Life

  • Retirement

This role requires a rare combination of AI product intuition, private markets domain knowledge ... Evaluate Product Manager quality and develop role expectations as the team scales * Drive delivery ...

SpangleAI

Technical Product Manager, AI

Bellevue, WA · On-site

$188K - $217K/yr

We are seeking an exceptional AI Product Manager who is passionate about building at the frontier of AI and commerce - and who wants to stay hands-on. This is not a spec-and-delegate role. You will ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

The Sr. Product Manager for Databricks AI will shape the future of enterprise AI by defining and driving the vision for generative AI products, partnering with engineering teams to turn breakthroughs ...

Databricks

Sr. Product Manager, Data Governance

Seattle, WA · On-site

$144K - $190K/yr

Databricks is a data and AI company that provides a platform for data teams to solve complex problems. The Sr Product Manager for Unity Catalog will coordinate product activities from vision to ...

F5, Inc.

Product Manager II

Seattle, WA · On-site

We are seeking an AI Product Manager II to own our AI model ecosystem, token economy, and core agentic platform enablement. This role is responsible for the end-to-end management of our LLM stack ...

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All JobsAi Product JobsAi Product Manager JobsAi Product Manager Jobs in Renton, WA

Ai Product Manager information

See Renton, WA salary details

$57.9K

$179.3K

$221.6K

How much do ai product manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai product manager in Renton, WA is $179,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,600.00 and $221,600.00 per year, depending on experience, location, and employer.

Is AI Product Manager a good career?

AI Product Managers oversee the development and strategy of AI-driven products, combining skills in product management, data science, and machine learning. The role is in high demand due to the growing adoption of AI across industries and offers opportunities for career growth, competitive salaries, and involvement in innovative projects.

How can I become an AI Product Manager?

To become an AI Product Manager, candidates typically need a background in product management, experience with AI or machine learning technologies, and strong skills in project management, communication, and data analysis. Gaining knowledge through relevant certifications, such as those in AI or data science, and understanding AI development tools can also be beneficial.

What does an AI product manager do?

An AI Product Manager bridges the gap between business objectives, user needs, and AI technologies. They define product vision, manage the AI development lifecycle, and collaborate with data scientists, engineers, and stakeholders. Their role involves identifying viable AI use cases, ensuring ethical AI deployment, and optimizing model performance for real-world applications. Strong analytical skills, AI literacy, and strategic thinking are essential for success in this role.

What are the typical challenges faced by AI product managers in their daily work?

AI Product Managers often face the challenge of bridging the gap between technical AI teams and non-technical stakeholders, ensuring alignment on project goals and expectations. They must navigate rapidly evolving technology, handle uncertainty or ambiguity in data and outcomes, and prioritize features that deliver genuine value to users. Tight deadlines, managing cross-functional teams, and adapting to new regulations or ethical considerations in AI are common aspects of the role. Collaboration, continuous learning, and effective communication are key to overcoming these challenges and driving successful product launches.

What are the key skills and qualifications needed to thrive as an AI product manager?

To thrive as an AI Product Manager, you need a blend of product management expertise, understanding of AI/ML concepts, and experience leading cross-functional technology teams, typically supported by a degree in computer science, engineering, or business. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), product roadmapping tools, and certifications such as Agile or Scrum are often valuable. Outstanding communication, strategic thinking, and the ability to translate complex technical information for diverse audiences are critical soft skills. These abilities ensure effective product development, stakeholder alignment, and successful AI-driven outcomes in a fast-evolving field.

What job categories do people searching Ai Product Manager jobs in Renton, WA look for?

The top searched job categories for Ai Product Manager jobs in Renton, WA are:

What cities near Renton, WA are hiring for Ai Product Manager jobs?

Cities near Renton, WA with the most Ai Product Manager job openings:

Ai Product Manager jobs near you
Infographic showing various Ai Product Manager job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $179,303 per year, or $86.2 per hour.

Sr. Product Manager, Enterprise AI

Trueblue

Seattle, WA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description


Overview:
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.
ESSENTIAL DUTIES and RESPONSIBILITIES
Include the following. Other duties may be assigned.
  • Build vision and strategy. Act as a Data, BI, and AI product evangelist to build awareness and drive a step-change in how our company uses AI-driven initiatives to make decisions. Define the BI/AI-related product strategy to decrease time to insight.
  • Identify, prioritize, and define product needs. You'll synthesize inputs from internal stakeholders, users, and competitors into prioritized roadmap investments and write product briefs to frame these for our technology teams.
  • Oversee roadmap execution. As a Product Manager, you're the voice of our business for our technical product owners and Agile Scrum teams. Throughout the PDLC, you'll navigate prioritization trade-offs to bring the most value to our customers, workers, and business, ensuring we drive towards our strategic goals.
  • Measure and learn. You'll determine and track product health and business metrics to test hypotheses and identify improvement opportunities. For ML and LLM features, that includes model-quality and evaluation metrics - accuracy, latency, cost, and the safeguards needed for non-deterministic systems.
  • Collaborate and communicate. This is a highly collaborative role. You'll work closely with technical product owners and developers to define product functionality and consult and inform stakeholders from across the organization. You'll work very closely with the other Product Managers in and outside the BI team to create and deliver on co-dependent roadmaps.
  • Own the AI platform and APIs. Define the product strategy for the shared services, APIs, and model-delivery platform that put ML and LLM capabilities into the hands of internal teams and applications, balancing reusability, performance, and cost.
  • Help shape a brand-new organization. You'll be on the ground floor of some exciting business improvements and will help shape our path to success.
  • Reimagine the way people connect people to work.

EDUCATION and EXPERIENCE
  • 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. Academic background in product management will be considered.
  • Experience building and delivering machine learning, business intelligence, or data analytics offerings from the ground up.

CORE KNOWLEDGE and SKILLS
  • 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 and Well-Being:
We offer a 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, in addition to other programs and perks. More details about our benefits can be found here.
We consider qualified applicants with arrest and conviction records in accordance with applicable law.
TrueBlue, Inc. and its brands welcome and encourage applications from candidates with disabilities. Accommodations are available upon request for candidates taking part in the application or interview process. If you require disability-related accommodation during the application or interview process, please contact your Recruiter directly, Employee Relations at HR-Advice@trueblue.com, or 1-800-610-8920. TrueBlue, Inc. and its brands will consult with all applicants who request disability-related accommodation during the application or interview process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.
About Us
Since opening our first office over 30 years ago, TrueBlue has been dedicated to connecting people and work, changing lives, transforming businesses, and benefiting communities around the world. . Whether serving a small business on Main Street or a Fortune 500 company, we work hard to find the talent they need to succeed. Our well-known, established brands - PeopleReady, PeopleManagement (SIMOS, StaffManagement, and Centerline Drivers), and PeopleScout, each have a unique focus to serve our customers' varied needs.
As the world of work changes, so does TrueBlue. We are well-positioned with tremendous strengths and assets, including a unique combination of strong and established brands, proprietary technology, an expansive geographic presence, and a passionate team serving our customers every day.
TrueBlue is The People Company™, and our shared values guide our success. We are Optimistic, believing in solutions through innovation and collaboration; Passionate, dedicated to making a positive impact; Accountable, empowering people to take responsibility; Respectful, valuing diverse views and teamwork; and True to who we are and to the needs of our clients. We are committed to making a lasting impact as we continue to adapt to the changing world of work.

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