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Data Product Manager Jobs in Oregon (NOW HIRING)

Product Manager, AI

OR · On-site +1

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... About This Role We're hiring an AI Product Manager to build the next generation of investor-facing ...

Technical Product Manager

OR · On-site +1

$105K - $120K/yr

... Data Management (CIDM) at the Department of Veterans Affairs. The Technical Product Manager owns the Product Roadmap for JLV and serves as the strategic leader responsible for customer alignment ...

Senior Product Manager

OR · On-site +1

$80 - $100/hr

As a Senior Product Manager at Array you will be a foundational member of a team, building on the ... Analyze user feedback and data to make informed decisions that enhance product performance and ...

Sr Product Manager

OR · On-site +1

$126K - $166K/yr

The best product managers no longer just write requirements and wait for engineering; they ... Dig into the data from first principles, form a point of view, and use it to validate assumptions ...

Product Manager (Trust)

OR · On-site +1

$162K - $190K/yr

As Trust Product Manager, you'll own the features that make customers confident keeping their money ... Work closely with Compliance, Finance, Operations, and Data to uncover and understand needs

Senior Product Manager

OR · On-site +1

$126K - $166K/yr

As a Senior Product Manager, you own the strategy, roadmap, and outcomes for a key product area ... Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart ...

Senior Product Manager

OR · On-site +1

$126K - $166K/yr

As a Senior Product Manager, you own the strategy, roadmap, and outcomes for a key product area ... Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart ...

SENIOR Product Manager

Sherwood, OR · On-site

$90 - $130/hr

The ideal candidate is analytical, creative, data-driven, and thrives in a fast-paced ... Develop, own, and manage the product roadmap. * Prioritize and refine the product backlog based on ...

Senior Product Manager

OR · On-site +1

$126K - $166K/yr

We look for projects with nation-wide impact at the intersection of policy, data, and user ... Product management in government involves weaving inputs from stakeholders, policy domain experts ...

Product Managers are responsible for deepening the product's value for existing customers and growing revenue from an established product by improving workflows, strengthening the data model behind ...

Data-driven with a knack for using data to identify business opportunities, have a can-do attitude, are confident, and a skilled communicator who welcomes honest and candid feedback. Comfortable ...

We are seeking a Product Manager II to serve as the operational engine driving execution and ... As a highly experimental and data-driven team, we leverage rapid testing, personalization, and ...

Senior Product Manager

OR · On-site +1

$150K/yr

Our clinical data only creates value for physicians and patients when it flows reliably through the ... The Role As a Senior Product Manager, you'll own the connective tissue between our external vendor ...

We are seeking a Staff Product Manager for our Telematics Platform. This team is at the center of ... You will also lead the charge in productizing our telematics data directly, building API-first ...

Showing results 41-60

Data Product Manager information

See Oregon salary details

$54.5K

$168.5K

$208.3K

How much do data product manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data product manager in Oregon is $168,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,100.00 and $208,300.00 per year, depending on experience, location, and employer.

What is a data product manager?

A Data Product Manager is a professional responsible for overseeing the development, launch, and management of data-driven products or solutions within an organization. They bridge the gap between technical teams, such as data engineers and scientists, and business stakeholders to ensure that data products meet user needs and drive business value. Their role includes defining product vision, prioritizing features, and ensuring data quality and usability, while also focusing on compliance and ethical considerations regarding data use.

How does a data product manager typically collaborate with data engineers and analysts on a project?

A Data Product Manager works closely with data engineers and analysts to define product requirements and ensure data solutions align with business goals. They facilitate communication by translating business needs into technical specifications and prioritize tasks within the team. Regular meetings and agile ceremonies help the Data Product Manager keep everyone aligned, address roadblocks, and incorporate feedback. This close collaboration ensures that data products are both technically robust and deliver real value to end users.

What are the key skills and qualifications needed to thrive as a data product manager, and why are they important?

To thrive as a Data Product Manager, you need a strong background in data analytics, product management, and business strategy, often supported by a degree in a quantitative field and relevant experience. Familiarity with data visualization tools (like Tableau), SQL, analytics platforms, and agile product management frameworks is typically required. Excellent communication, stakeholder management, and problem-solving abilities help you translate complex data insights into actionable product features. These skills ensure that data-driven products are developed effectively, meet user needs, and drive business value.

What is the difference between Data Product Manager vs Data Analyst?

AspectData Product ManagerData Analyst
Primary FocusDeveloping data products, strategy, and roadmapsAnalyzing data to generate insights and reports
Skills & CertificationsData management, product management, SQL, data visualizationData analysis, SQL, Excel, statistical tools
Work EnvironmentCross-functional teams, product development lifecycleData analysis teams, reporting environments
Industry UsageTech, finance, healthcare, where data products are builtBusiness intelligence, marketing, operations

The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple stakeholders, tight deadlines, and the need to deliver data-driven solutions. The role requires strong organizational skills and the ability to prioritize tasks, which can contribute to a high-pressure environment, especially in fast-paced industries.

What are popular job titles related to Data Product Manager jobs in Oregon?

For Data Product Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Product Manager jobs in Oregon look for?

The top searched job categories for Data Product Manager jobs in Oregon are:

What cities in Oregon are hiring for Data Product Manager jobs?

Cities in Oregon with the most Data Product Manager job openings:

Infographic showing various Data Product Manager job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $168,536 per year, or $81 per hour.

Full-time

Retirement, PTO

Re-posted 11 days ago


Job description

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for.

About This Role

We're hiring an AI Product Manager to build the next generation of investor-facing products powered by AI.

You'll sit on the Public Investor team, owning products that help institutional investors turn complex data into faster, higher-conviction decisions. This includes AI-powered workflows across:

  • MCPs (Model Context Platforms)
  • AI agents for research and analysis
  • Investor-facing portal experiences
  • Data feeds and programmatic access

This is not a traditional PM role. You'll operate at the intersection of AI capabilities, user workflows, and proprietary data, defining how cutting-edge models translate into real investor value.You'll work directly with investors, researchers, and engineers to design systems that don't just surface insights, but actively assist, automate, and augment decision-making. We have unmatched data. What we need is world-class user experience to unlock it-so customers can turn our insights into value at scale. That's where you come in.

Key Responsibilities

  • Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data.
  • Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models.
  • Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products.
  • Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements.
  • Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness.
  • Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners. 
  • Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability.
  • Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.

Qualifications & Skills

  • 4-6+ years of product management or similar experience.
  • Experience building AI copilots, agents, or internal AI tools
  • Familiarity with how AI/ML models and AI agents are built and maintained.
  • Strong product instincts with a track record of building 01 or ambiguous products
  • Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals) 
  • Generalist knowledge of both engineering and design.
  • Able to design and evaluate prompts, contexts, and model behaviors.
  • Analytical thinker, comfortable with data and experimentation.
  • Great communicator and collaborator.
  • High ownership mindset with a bias toward action and learning

Nice to Have

  • Familiarity with financial markets or investor workflows
  • Experience with data platforms, APIs, or developer-facing products
  • Background in analytics, research, or quantitative environments

What We Offer:

Our compensation package includes comprehensive benefits, perks, a competitive salary, and equity: 

  • The annual base salary for this position is anticipated to be $140,000 - $150,000, with a 10% performance bonus, and equity.
  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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