Top Product Manager Jobs in Portland, OR

Leads the discovery, development, launch, and scaling of AI-first product capabilities. Translates ambiguous customer problems into hypotheses, requirements, evaluation criteria, roadmaps, and measurable outcomes. Partners with engineering, UX, tax SMEs, go-to-market, and customer success to prototype and operationalize reliable, compliant AI solutions. Owns AI quality, monitoring, performance, feedback loops, responsible AI practices, and continuous improvement while influencing cross-functional stakeholders and mentoring junior product owners.

Lead strategic product and program initiatives for Azure Host and Azure Boost infrastructure. Define product direction, roadmaps, and priorities; coordinate engineering, architecture, and operations teams; evaluate hardware-software tradeoffs; use AI, telemetry, and analytics to guide decisions; engage customers; and deliver executive-ready communications. Own initiatives from concept and architecture through launch, deployment, and fleet-scale operations while improving customer experience, platform competitiveness, and operational efficiency.

Supports product strategy, roadmap development, lifecycle management, market research, customer feedback, requirements definition, cross-functional development, launch readiness, and ongoing product improvement for regulated healthcare software, devices, and services. Coordinates timelines, documentation, stakeholder communications, training, sales enablement, risk management, and performance monitoring while ensuring quality and regulatory alignment.

Own the strategy, roadmap, governance, and external productization of ComPsych’s Databricks-based data platform and API layer. Define data products, schemas, quality standards, documentation, access tiers, SLAs, and developer experiences. Partner with Data Engineering, Architecture, Sales, Legal, and Security to manage sensitive behavioral health and absence data, external data-sharing agreements, and commercial opportunities. Guide API versioning, onboarding, support, and data governance while balancing technical, compliance, and customer needs.

Own the strategy and roadmap for Dave’s financial data platform, including vendor integrations, data ingestion, normalization, storage, access, quality, and monitoring. Partner with Engineering and Data Science to create financial signals that improve underwriting and repayment prediction. Manage data partners, evaluate new sources, define platform KPIs, and connect data improvements to approval rates, losses, retention, and future credit products.

Own the zero-to-one strategy and execution for RevenueCat’s user acquisition products. Research mobile acquisition workflows, identify high-value opportunities, define and test product hypotheses, collaborate with engineering and cross-functional teams, and ship measurable products or experiments. Serve as the internal expert on mobile performance marketing, attribution, privacy, acquisition economics, and how monetization data can improve user growth.

Own technical product initiatives end-to-end, including discovery, specifications, prioritization, AI prompt and evaluation design, metrics, backlog management, delivery coordination, and launch readiness. Partner with Legal Strategy, Engineering, Design, Operations, and Marketing to ship software, analyze product performance, and continuously improve outcomes in a fast-moving startup environment.

Own long-term product strategy and roadmap for Circle's digital assets and capital markets platform. Lead cross-functional initiatives, manage regulatory and market risks, define forecasting and liquidity models, influence executives, and mentor product managers to scale global stablecoin and capital access infrastructure.

Own the AI Services product strategy, roadmap, and execution for agentic workflows, MCP tools, connectors, and AI quality infrastructure. Define agent behavior, evaluation frameworks, integrations, metrics, and risk controls while partnering closely with engineering, architecture, security, legal, and consuming product teams. Drive adoption across the portfolio, make technical trade-offs, communicate outcomes to leadership, and deliver reliable AI capabilities for enterprise finance and accounting users.

Lead growth initiatives for Quora’s core web and mobile products, owning acquisition, activation, and early retention. Partner with engineering, design, data science, and product operations to define objectives, build experiences, run experiments, analyze user insights, and identify strategic growth opportunities. The role requires influencing cross-functional teams, expanding reach to new demographics, and driving measurable user growth through qualitative and quantitative research.

Owns the Dragos Platform’s release architecture, packaging, documentation, communications, and delivery across on-premises, cloud-hosted, customer-hosted, and hybrid environments. Manages cloud vendor relationships, coordinates release mechanisms and schedules, develops reference architectures, and partners with Engineering, Product Marketing, Support, Customer Success, and customers to prioritize deployment capabilities and ensure reliable releases.

Lead the end-to-end development of agentic AI products for workforce management, from operational research and agent definition through prototyping, evaluation, enterprise deployment, and commercialization. Define human-in-the-loop controls, tools, escalation rules, specifications, and release criteria. Build prototypes, prompts, evaluation sets, and code contributions while diagnosing model and system failures. Partner with enterprise design customers, engineering, AI Lab, executives, and go-to-market teams to deliver reliable, compliant products.

Own the strategy and roadmap for enterprise identity and multi-user capabilities, including RBAC, organization management, SSO, provisioning, authentication, and account security. Lead cross-functional launches with engineering, security, legal, privacy, and customer experience teams. Define platform vision, address vulnerabilities, establish privileged-access safeguards, and translate complex identity requirements into intuitive experiences for business and consumer customers.

Lead the long-term strategy, roadmap, and cross-organizational execution for AI agent and skill authoring across Microsoft Copilot products. Define platform direction, lifecycle capabilities, governance, metrics, and investment priorities while aligning engineering, design, marketing, executives, and partners. Use customer research, telemetry, market intelligence, experimentation, and AI-assisted insights to drive adoption, reliability, responsible AI, and enterprise-scale outcomes.

Own product strategy and outcomes for financial services and data platforms. Lead payments, billing, refunds, financial aid, data quality, analytics, and Microsoft Fabric migration initiatives. Partner with engineering, design, finance, compliance, and internal data users to frame problems, run experiments, prioritize investments, and improve payment success, chargebacks, data quality, Power BI adoption, and self-service analytics.

Owns the digital storefront and commerce customer journey across merchandising, applications, checkout, and post-purchase experiences. Develops product roadmaps, defines requirements, leads cross-functional initiatives, analyzes funnel and conversion data, and drives iterative improvements. The role requires direct experience with agentic commerce, B2B2C platforms, AI chatbot workflows, fintech payment or lending products, and web and mobile commerce experiences.

Own the product strategy and roadmap for media pricing, buying, and transactions. Partner with customers, commercial teams, product, design, and engineering to define use cases, validate concepts, prioritize requirements, and deliver customer value. Lead agile execution, customer feedback management, go-to-market enablement, and executive communication. The role requires strong analytical, communication, and product leadership skills in SaaS, data, advertising, media, or ad tech environments.

Own state-level strategy and market performance for assigned regions, manage state filing and DOI relationships, collaborate with Technology and Operations on launches and rate reviews, analyze KPIs and profitability drivers, develop strategic recommendations and cost-benefit analyses, gather field market feedback, and contribute to product development, data evaluations, and competitive intelligence for homeowners/P&C insurance products.

The Product Manager will develop product vision and roadmap, coordinate with engineering and design, and analyze data to drive decisions, ensuring user needs are met in a crisis assistance platform.

Lead product strategy, discovery, and execution for LeafLink's marketplace and financial services. Partner with Design, Engineering, Data, Operations, and Commercial teams to define roadmaps, validate solutions, ship customer-facing B2B products, measure outcomes, and iterate using customer research and analytics.

Architects and validates field go-to-market motions for newly launched enterprise security products. Designs demos, proof-of-value structures, messaging, and scalable sales processes; conducts customer discovery and live-deal testing; analyzes competitive losses; and communicates product and positioning insights to Product Management and Product Marketing. Owns the General Availability handoff, documenting successful approaches and enabling the field to execute independently.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Owns the strategy, roadmap, requirements, delivery, governance, and adoption of data and analytics products built on Snowflake and delivered through Power BI. Partners with engineering, analytics, governance, and business stakeholders to prioritize backlogs, define data models, validate quality, coordinate dashboard releases, manage UAT, and improve data product performance, accessibility, and self-service analytics adoption.

Own the strategy, roadmap, and execution for Turno’s core marketplace platform, including scheduling, job completion, quality verification, and payments. Conduct discovery with hosts and cleaners, balance supply and demand, define KPIs, build Looker dashboards, guide API-first platform modernization, and deliver AI-enabled workflows. Partner closely with Engineering, Design, Operations, and leadership while leading engagement platform initiatives, legacy migrations, UX redesigns, and continuous product improvement.