Top Product Manager Jobs in Portland, OR

Lead regional growth strategy for USDC by building partnerships with exchanges and OTC desks, delivering regionally compliant product initiatives, and creating AI-driven, automated growth platforms. Own experimentation frameworks, dashboards, and metrics to scale liquidity, adoption, and measurable share shift versus competing stablecoins through cross-functional execution and data-driven prioritization.

Lead end-to-end digital product design and development for client projects. Collaborate with designers, engineers, project managers, marketers, executives, and clients to define goals, manage scope, prioritize requirements, maintain roadmaps and backlogs, and deliver user-centric mobile and web products using agile methodologies.

Own growth and go-to-market transformation for Harness’s Internal Developer Portal. Responsibilities include carrying an ARR target, delivering technical demos, supporting discovery and RFPs, developing AI and developer-experience thought leadership, creating marketing and sales-enablement content, building business-value assessments and demo environments, and feeding customer-driven product gaps to engineering. The role partners closely with sales while driving the product toward a product-led or sales-attached growth motion.

Lead the full product lifecycle for Tenna's IoT platform: define vision and roadmap, translate concepts into user stories and acceptance criteria, prioritize backlog, run acceptance testing, analyze user and quantitative data, drive KPIs and adoption, collaborate with Engineering, Design, Marketing, and Customer Success, and support go-to-market and end-user research.

Own a portfolio of B2B digital commerce capabilities (pricing, promotions, merchandising, personalization). Define roadmaps, translate customer needs into prioritized backlogs, run experiments (A/B, multivariate), and partner with UX, Engineering, Marketing, Pricing and Analytics to improve discovery, conversion and enterprise purchasing journeys. Monitor KPIs, iterate on MVPs, and present strategy and results to stakeholders and leadership.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Own growth and go-to-market transformation for Harness’s Internal Developer Portal, shifting it toward product-led growth. Responsibilities include carrying an ARR target, delivering technical demos, supporting discovery and RFPs, creating thought leadership on AI and developer experience, building sales enablement assets, informing engineering about deal blockers, and developing a sustainable product-led or sales-attached motion.

Own Alpaca’s market data product strategy and revenue growth. Define sourcing, licensing, entitlements, pricing, packaging, build-versus-buy decisions, API capabilities, developer experience, and partner priorities. Lead exchange and vendor negotiations, assess competitive positioning, and deliver real-time, delayed, historical, and derived market data products across asset classes and geographies.

Lead and develop a team of product managers while owning strategy, execution, and commercial performance for a portfolio of B2B data feeds. Directly manage a strategic data product, guide customer discovery, prioritize investments, partner with Data, Engineering, Quant Research, and commercial teams, and improve data quality, integration, onboarding, adoption, retention, and revenue outcomes.

Manage Acuity’s personal or package insurance product lines, overseeing product strategy, roadmaps, market performance, growth, and profitability. Analyze competitive, customer, pricing, and industry data to identify product opportunities and enhancements. Collaborate with underwriting, distribution, actuarial, communications, and other stakeholders to execute strategies, align goals, and deliver insights to business leaders. Present performance updates and support sustainable competitive advantage.

Owns product strategy, roadmap, prioritization, pricing, and packaging for an assigned SaaS product line. Conducts market, competitive, and customer research; builds investment cases; defines outcomes and success metrics; and communicates direction to executives and cross-functional teams. Partners with Product Owners, Design, Engineering, Sales, Customer Success, and Marketing to guide execution and go-to-market alignment. The role also evaluates AI opportunities and engages directly with customers and prospects.

Supports US warranty insurance product development and carrier operations. Responsibilities include analyzing product performance, managing pricing and coverage modules, maintaining policy documentation, coordinating carrier reporting and reconciliations, supporting carrier relationships, responding to audits and due diligence requests, identifying compliance risks, and collaborating with Legal, Actuarial, Finance, and Technology teams. The role also assists with product submissions and capacity requests while developing expertise in insurance product design and commercial terms.

Lead product strategy and roadmap for Azure compute platform hardware. Drive cross-functional alignment, prioritize capacity and supply issues, define requirements with cloud business units, track success metrics, mitigate risks, and deliver scalable hardware platform launches that improve efficiency and margin.

Own Epoch AI’s website product, including page and feature goals, prioritization, information architecture, standards, QA, and launch decisions. Partner with researchers, designers, developers, and communications staff to ship clear, usable web experiences. Use analytics, interviews, and feedback to guide the roadmap, communicate decisions, review designs, resolve implementation questions, and maintain site coherence across research publications and data products.

Own the strategy, roadmap, backlog, operational readiness, and adoption of MedInsight and actuarial analytics data products. Translate healthcare payer, actuarial, data quality, and analytics needs into product requirements and delivery priorities. Partner with engineering, analytics, actuarial, governance, architecture, operations, and vendors to deliver reliable data products, semantic capabilities, AI-enabled workflows, self-service analytics, and measurable business impact.

Lead strategy, roadmap, and execution for Intel’s data center AI software portfolio. Define enterprise-ready generative AI, agentic, microservices, and turnkey solutions across cloud, hybrid, and on-premises environments. Analyze competitors, develop go-to-market positioning, and grow relationships with cloud providers, ISVs, neoclouds, and open-source communities. Partner with engineering, AI research, silicon architecture, documentation, and developer relations teams to deliver PRDs, deployment blueprints, APIs, SDKs, and validated software offerings.

Own the strategy, roadmap, lifecycle, and delivery of a records management software product for public safety agencies. Responsibilities include user research, prioritization, requirements, Agile delivery, AI feature integration, metrics, go-to-market planning, customer engagement, demos, vendor coordination, and cross-functional stakeholder management.

Own the AI product roadmap, prioritization, accuracy metrics, model and vendor requirements, release planning, and correction feedback loop. Partner with engineering, product, tax, QA, UX, and client success to improve document extraction coverage, accuracy, cost, latency, and filing readiness across K1x products.

Own the end-to-end development and launch of Sports product features across Netflix discovery and playback experiences. Partner with design, engineering, data science, marketing, content, and product teams to shape roadmaps, identify opportunities, define requirements, build business cases, run A/B tests, measure outcomes, and iterate. The role focuses on scaling live sports experiences, balancing complex tradeoffs, and driving alignment in an ambiguous, fast-paced environment.

Own the product vision, strategy, roadmap, prioritization, and lifecycle for solutions supporting caregiving members, internal care teams, and clients. Lead user discovery, interviews, experiments, data analysis, requirements definition, and cross-functional execution with engineering, design, and data teams. Identify opportunities for AI and emerging technologies, define success metrics, track performance, and deliver high-impact products from ideation through launch and sunset.

Own the Payments & Checkout roadmap, improving checkout conversion, payment authorization, BNPL adoption, fraud-risk balance, vendor performance, and payment cost efficiency. Partner with engineering, design, data, processors, networks, wallets, and BNPL providers to optimize transaction growth, average order value, and completed payments. Use experimentation, SQL, and analytics to diagnose funnel performance and deliver measurable business outcomes.