Top Entry Level Product Manager Jobs in Seattle, WA

Own the roadmap and delivery of Atlassian Government Cloud, balancing customer value, compliance, engineering investment, and market impact. Translate FedRAMP and NIST controls into product requirements, lead cross-functional execution, engage public sector customers, support migrations, and guide pricing, packaging, commercialization, Marketplace readiness, and launch activities. Serve as a subject matter expert on government cloud needs and compliance requirements.

Own Headway’s provider activation funnel, onboarding strategy, patient porting tools, and early provider appointment growth. Define activation metrics, OKRs, and roadmap while partnering cross-functionally with sales, CX, finance, pricing, ranking, and provider experience teams to improve retention, lifetime value, and provider satisfaction.

Own the roadmap for Headway’s go-to-market systems, automating provider acquisition and consolidating fragmented sales and marketing tools. Partner with sales, marketing, and engineering to improve growth efficiency through AI, automation, revenue feeds, audiences, attribution, data enrichment, and campaign management. Unite cross-functional teams around a shared vision, identify process bottlenecks, and determine when automation, staffing, or incentive changes are needed.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Own the product direction for Physical AI applications and the reusable ML and software stack running on Arm-based silicon. Define target workloads, requirements, interfaces, roadmaps, benchmarks, acceptance criteria, and release decisions across robotics, autonomy, AI inference, middleware, tooling, simulation, and deployment. Validate customer and partner needs, guide build-versus-partner choices, evaluate measured prototypes, and align engineering, architecture, product, and business leaders through delivery and launch.

Own DigitalOcean’s inference product strategy, including GPU deployment, allocation, utilization, pricing, packaging, and roadmap. Partner with engineering, finance, GTM, and customers to build scalable serverless, dedicated, and batch inference offerings. Drive improvements in GPU economics, performance, reliability, developer experience, capacity planning, and margins while establishing metrics for utilization, throughput, revenue, latency, adoption, retention, and efficiency.

Own the product roadmap, write feature specifications, define KPIs, and coordinate delivery across engineering, design, and growth. Prioritize initiatives based on retention, revenue, and engagement impact; manage sprint boards and timelines; coordinate testing and quality validation; and monitor feature performance through analytics dashboards and user feedback. The role requires strong SaaS or consumer product knowledge, analytical communication, and experience with product analytics tools.

Research market and customer needs, define product vision and roadmap, oversee design and engineering development, test quality, create marketing plans, manage budgets and teams, communicate performance, analyze feedback, and anticipate demand, risks, and opportunities.

Translates product, survey, and Salesforce changes into practical training materials, live sessions, demo videos, release notes, and multilingual communications for country teams. The role supports rollouts across Mozambique and DRC, maintains documentation, manages training requests, gathers field feedback, and identifies designs that are difficult to explain. It requires frontline field experience, strong English writing, Portuguese or French proficiency, training delivery skills, and regular travel to field sites.

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.

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 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.

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 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.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Own the product strategy and delivery of Headway’s payer and patient outcomes data infrastructure. Build patient segmentation, cost-of-care measurement, and payer-facing data products while defining data architecture and priorities. Partner closely with data engineering, data science, clinical strategy, and commercial teams to create auditable, predictive, and externally defensible outcomes and cost insights.

The Higher Education Product Manager shapes and delivers ASU+GSV Summit programming for higher education leaders. Responsibilities include curating sessions, managing speakers and program logistics, developing strategic partnerships, growing the higher education community, engaging industry stakeholders, and identifying technologies that improve workflows and attendee outcomes. The role combines product and program management, content strategy, relationship building, business development, and revenue-oriented partnership development, with travel and extended hours around the Summit.

Own a product area end to end, from customer and business discovery through roadmap definition, delivery, launch, measurement, and iteration. Partner closely with Engineering, Design, QA, operations, and business teams to solve technically complex workflow and integration problems. Use data, customer insight, and product judgment to prioritize work, communicate tradeoffs, and make timely decisions. This is a hands-on individual contributor role requiring strong written communication, technical curiosity, and ownership of outcomes.

Own Bobbie’s digital growth product initiatives across acquisition, ecommerce, checkout, subscription, personalization, and AI-powered experiences. Lead experimentation from hypothesis through analysis, use customer and behavioral data to prioritize improvements, and partner cross-functionally with Design, Engineering, Data, Marketing, and Operations. Success is measured through conversion, funnel progression, checkout completion, average order value, subscription performance, experiment velocity, and incremental growth.

Lead customer-centric product development and strategic initiatives for an AI platform. Responsibilities include understanding customer pain points, overseeing product and operations execution, managing accounts, building scalable systems and processes, coordinating with engineering, analyzing performance data, and driving product insights through market and competitive research.

The job description provides no specific responsibilities or requirements beyond the Product Manager title.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.