Top Product Manager Jobs in Portland, OR

Lead Arcadia's payments strategy and roadmap to optimize payment economics, regulatory compliance, and vendor partnerships. Define payment metrics and drive acceptance cost improvements, evaluate emerging payment technologies, engage customers on funding solutions, mitigate regulatory risk with Legal/Compliance, and manage commercial relationships with PSPs and processors to deliver a modern payments platform.

Own product roadmaps and execution for fintech products; gather customer insight, define requirements, collaborate with engineering and operations, drive launches, measure performance, and iterate to deliver business value.

Lead strategy and roadmap for DTNs upstream intelligence portfolio, especially Farm Intelligence. Conduct customer discovery, define product metrics, prioritize features, and partner with Engineering, Design, Data Science, and Commercial teams to deliver data-intensive, AI-enabled B2B SaaS products. Drive launches, adoption, and continuous optimization through experimentation, analytics, and stakeholder alignment.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

Own vision and strategy for a core internal developer platform (Cloud Runtime, Security, Database, Key-Value, Messaging). Partner with engineering and stakeholders to define MVPs, prioritize capabilities, measure product metrics, reduce cognitive load, cut costs, improve performance/reliability, and drive internal adoption through feedback, analytics, and cross-functional collaboration.

The Principal Product Manager will own connectors and ecosystem strategy, driving product roadmap, building partnerships, and enhancing customer engagement within the ClickHouse ecosystem.

Lead product strategy, requirements, and roadmaps for Experian’s online and offline identity graphs. Collaborate with data science, engineering, and commercialization teams to build, test, and improve graph products, monitor performance metrics, ensure privacy and data governance, engage data partners, and participate in industry working groups.

Lead strategy, roadmap, and delivery for consumer-facing digital products. Own discovery, customer research, PRDs, backlog prioritization, Agile delivery, metrics, experimentation, and cross-functional alignment. Incorporate AI-enabled practices and partner with engineering, design, analytics, and stakeholders to iterate and optimize product outcomes.

Lead growth and monetization for subscription products across mobile and web. Own purchase flows, pricing, paywalls, and experimentation. Drive roadmap for monetization infrastructure, run A/B tests, synthesize data and research, and coordinate a cross-functional pod to improve conversion and revenue.

Own the AI and data product roadmap, prioritize and sequence development with engineering and founders, ship trustworthy AI experiences, drive adoption, define feature success metrics, evaluate outcomes, and manage the analytics foundation. The role requires technical fluency in AI, prior software engineering experience, production AI product delivery, strong product judgment, and comfort working in a fast-paced, remote startup environment.

Own end-to-end technical product requirements by engaging customers and stakeholders, running discovery, defining precise API/data specs and integrations, building lightweight internal tools or scripts, and validating solutions through acceptance and product health monitoring.

Own the advertising recommendation engine, including ranking quality, optimization objectives, guardrails, metrics, and model roadmap. Lead experiment design, inference standards, holdouts, rollback criteria, and production launches. Evaluate model performance and business impact with data science and stakeholders. Partner across ML, analytics, ad operations, pricing, identity, telemetry, and commercial teams. Apply advertising economics, ranking systems, SQL, and data-platform expertise to improve monetization for mobile apps and games.

Own the data and identity platform powering advertising, including event taxonomy, schemas, attribution, identity resolution, reporting APIs, real-time signals, and data contracts. Partner with engineering teams to build scalable interfaces for ads, machine learning, and customer reporting while ensuring compliance with GDPR, CCPA, ATT, SKAdNetwork, and consent requirements.

Lead end-to-end product development for Credify's web and WhatsApp chatbot platforms, define roadmap and API integrations with ERP and loan management systems, drive implementation with engineering and QA, build analytics and reporting, and mentor junior product staff while representing the product internally and externally.

Lead product strategy and roadmaps for Master Data Management (MDM). Translate business needs into features and outcomes, partner with architecture, data governance, engineering and business stakeholders, drive SAFe/Agile adoption, ensure data quality, governance, integrations (APIs, batch/real-time), and deliver scalable enterprise MDM capabilities.

This role leads product strategy and development for switchboards, focusing on market analysis, team collaboration, and product lifecycle management.

Own product strategy and complex cross-surface initiatives for Bolt.new, from diagnosis through launch. Use customer research, product data, and market context to improve activation, engagement, retention, and expansion. Partner with engineering and cross-functional teams to make prioritization and product-quality decisions, ensure a consistent user experience, and communicate clear written product thinking. The role requires senior individual-contributor product experience, strong product judgment, technical fluency, and comfort operating autonomously in an ambiguous, product-led environment.

Lead discovery, scope definition, backlog and roadmap management for large-scale Shopify commerce projects. Partner with clients, architects, engineers, and delivery teams to define objectives, manage trade-offs, support UAT, and deliver measurable improvements in conversion, AOV, retention, scalability, and operational efficiency. The role also contributes to product management practice development, mentoring, and enterprise commerce thought leadership.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Own the technical direction, roadmap support, and prioritized backlog for Geo Addressing SDK and related addressing products. Serve as the technical bridge among Product, Engineering, QA, Support, customers, and partners. Investigate escalations, validate fixes, define acceptance criteria, improve address matching quality, evaluate data sources, support release communications, and lead demos. The role requires expertise in geocoding, address validation, APIs, software architecture, enterprise data quality, and AI-assisted product workflows.

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Own end-to-end capacity delivery for Azure AI infrastructure, including NeoCloud partnerships and large-scale GPU deployments. Lead integrated execution plans, risk management, milestones, operational reviews, metrics, and continuous improvement across engineering, datacenter operations, networking, supply chain, finance, and external providers. Identify and implement AI, automation, and agentic workflows to improve infrastructure delivery predictability, reduce operational toil, accelerate execution, and support Microsoft's AI infrastructure strategy.

Own end-to-end client launches onto PHIL’s platform, including discovery, configuration, technical scoping, stakeholder communication, and go-live execution. Balance implementation work with product roadmap ownership, using data to improve adoption, engagement, retention, and client value. Translate manufacturer, provider, patient, and business needs into product requirements, collaborate with engineering and design, and drive program optimizations across B2B and B2C experiences.

The Principal Product Manager will lead product strategy and development for Akamai's Public Sector cloud products, ensuring compliance and collaborating with stakeholders.