Top Entry Level Product Manager Jobs in Kansas City, MO

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.

Leads the strategy, roadmap, delivery, adoption, performance, and lifecycle of assigned software products and platform capabilities. Translates customer needs, business goals, product data, technical constraints, and competitive insights into prioritized investments and executable plans. Acts as the voice of the customer and market while driving product outcomes and adoption.

Netflix is hiring a Product Manager for its Compute organization. The provided posting contains no specific responsibilities or qualification details. Compensation is an annual salary ranging from $660,000 to $1,000,000, with flexibility between salary and stock options, plus comprehensive benefits.

Own product discovery and commercial outcomes across PostHog products. Analyze growth, retention, churn, revenue, and usage data; conduct user interviews; research competitors; identify pricing, packaging, and product opportunities; provide product feedback; and coach product engineers. The role emphasizes autonomy, product sense, SQL-based analysis, customer research, and commercial judgment rather than backlog management, project delivery, or feature development.

Own the Immortals.com storefront roadmap, conversion optimization, experimentation, paid-traffic landing experiences, and migration to a headless Shopify platform. Translate customer and performance insights into product requirements, coordinate engineering and cross-functional delivery, manage testing and launch readiness, and monitor post-launch results. Success includes improved conversion, revenue per session, funnel completion, shopping usability, and reliable analytics across the customer journey.

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.

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.

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.

Own the vision, roadmap, revenue, adoption, and operations of Docker Sandboxes. Lead product strategy for secure, isolated environments used by developers and AI agents, translating complex infrastructure tradeoffs into simple experiences. Partner with engineering, design, security, operations, customers, and go-to-market teams to define priorities, deliver releases, measure outcomes, and scale reliable services. The role requires deep technical fluency in systems, developer infrastructure, containers, virtualization, security, and software execution environments.

Leads strategy, roadmap, backlog, modernization, and lifecycle execution for enterprise external identity and access management capabilities. Coordinates business, engineering, security, compliance, architecture, analytics, design, and operations teams across multiple healthcare brands. Uses customer insights, data, risk considerations, and operational feedback to prioritize registration, authentication, recovery, identity verification, authorization, and access-management improvements. Ensures secure, accessible, reliable, compliant, and low-friction omni-channel experiences while driving adoption, platform reuse, and measurable business outcomes.

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.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.