Top Senior Product Manager Jobs in Kansas City, MO

Own the vision, strategy, and roadmap for Databricks’ AI-first learning platform. Build contextual guidance, adaptive learning paths, learner models, assessments, skills graphs, analytics, and personalization tools. Partner with engineering, UX, curriculum, education, and go-to-market teams to deliver scalable learning experiences for customers, partners, and employees. Define metrics, understand skills gaps, engage users, and improve platform adoption through embedded learning capabilities.

Owns product strategy, roadmap, backlog prioritization, requirements, and Agile delivery for an assigned SaaS product. Leads analysts, partners with Engineering and stakeholders, and serves as product owner for a scrum team. Uses data and AI-assisted techniques for discovery, experimentation, prioritization, prototyping, governance, and product optimization. Requires strong business acumen, communication, analytical skills, and experience managing product lifecycles.

Own the AI product strategy and roadmap for HealthEdge’s HealthRules Payer platform. Identify and prioritize AI use cases across claims, member management, enrollment, benefits, and contracts; translate strategy into product requirements; and align product, engineering, data science, UX, marketing, and sales teams. Lead AI governance, regulatory compliance, customer presentations, go-to-market messaging, pilots, and feature commercialization while ensuring responsible AI use in healthcare payer workflows.

Manages product premium volume growth and profitability for assigned states and insurance product lines, including Auto and Property. Leads cross-functional teams, develops strategic action plans, sets pricing, enhances offerings, ensures regulatory and operational alignment, monitors performance, and manages product analysts and assistant product managers. Requires advanced quantitative analysis, insurance product expertise, supervisory experience, and data-driven decision-making.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Own product strategy and roadmap for an early-stage B2B SaaS HR/performance platform. Translate customer insights into requirements, ship features quickly, iterate from feedback, and build product processes and a customer-centric culture while working closely with founders and customer success.

Own the strategy, execution, customer success, and go-to-market for Oscilar’s Device and Behavior product. Lead development of SDKs, signal pipelines, behavioral biometrics, agentic identity signals, data networks, foundation-model capabilities, and analyst experiences. Partner with sales and customers to drive adoption, shape product positioning, and deliver a device intelligence and digital identity platform for fraud, onboarding, authentication, and risk decisions.

Lead the strategy, roadmap, and lifecycle evolution of Fetch Play, expanding rewarded gaming into non-gaming apps. Own the user journey from discovery and installation through engagement, retention, and reward payout. Define KPIs, run experiments, develop personalization and native engagement mechanics, optimize reward economics, and manage fraud and attribution risks. Align Engineering, Design, Data, Marketing, Partnerships, and senior leaders while mentoring product managers and driving scalable consumer growth.

Owns the vision, roadmap, prioritization, delivery, adoption, and performance of enterprise membership data products. Partners with membership, marketing, CRM, engineering, analytics, security, privacy, and governance teams to define identity, lifecycle, quality, and KPI requirements. Oversees governed Databricks data products supporting activation, experimentation, personalization, reporting, and AI use cases while ensuring privacy and responsible use. Requires strong product leadership, data product expertise, stakeholder influence, and knowledge of membership or loyalty strategies.

Owns the roadmap and lifecycle of supply chain data products, from discovery and prioritization through launch, adoption, and outcome measurement. Defines data concepts, KPIs, business rules, quality standards, and operational requirements while partnering with engineering, analytics, architecture, and supply chain stakeholders. Uses Databricks and lakehouse concepts to support analytical and operational workflows involving inventory, replenishment, logistics, fulfillment, transportation, and exception management. Requires occasional travel to operational facilities.

Manage optical networking products and services for North American customers. Align product roadmaps with network evolution, gather and prioritize feature requests, develop innovative solutions, support pricing and profitability, analyze market and competitor trends, and collaborate with sales and account teams. Present product strategies and roadmaps to internal and external stakeholders while building strong customer relationships and coordinating cross-functional initiatives.

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Own the strategy and roadmap for Constructor’s search quality and Product Discovery Engine. Drive measurable improvements in relevance, conversion, revenue per visit, and GMV across retail verticals. Partner with ML, data science, and engineering teams to productionize state-of-the-art retrieval, ranking, query understanding, personalization, and LLM capabilities. Establish evaluation frameworks, investigate quality issues, align multiple teams, and expand into chapter-wide product leadership.

Supports end-to-end product development for personal grooming wet goods, including formula development, claims testing, packaging, costing, scale-up, production readiness, and launch execution. Coordinates cross-functional teams, maintains timelines and documentation, tracks risks and financial performance, and communicates status to leadership. This four-month contract role covers maternity leave and supports category ownership and product portfolio optimization.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.

Own product strategy, roadmaps, requirements, governance, executive reporting, AI innovation, legacy modernization, stakeholder alignment, and release readiness. Translate business objectives into user stories, process flows, acceptance criteria, and measurable delivery outcomes. Partner with customers, engineering, UX, QA, and business leaders to prioritize initiatives, manage risks and dependencies, validate solutions, and improve enterprise SaaS workflows.

Own vision, roadmap, and UX for core GTM revenue tools. Lead discovery, PRDs, design, execution, launches, adoption tracking, and cross-functional alignment with Sales Ops, GTMS, and AI/Data teams.

Lead product initiatives for military planning and operational coordination. Conduct user research with planners, translate requirements into solutions, work across squads to design B2B/SaaS collaboration features, prototype and iterate, and represent product decisions to leadership while prioritizing user safety and operational effectiveness.

Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.

Own the Early Investor product end to end, including roadmap, growth, monetization, experimentation, retention features, success metrics, and iteration. Partner daily with engineering, identify opportunities for postpartum families, communicate results to leadership, and accelerate Babylist Money’s growth.

Lead exploration and design of a native token and governance for the Arc network: define tokenomics, model incentives and staking, operationalize onchain/offchain governance, collaborate cross-functionally, and engage the community.

Lead execution of product initiatives for clinical decision support and pathways: manage delivery from kickoff to rollout, handle inbound requests via Jira, coordinate alpha/beta releases, conduct customer discovery, translate prototypes into implementation-ready specs, and support FDA documentation and cross-functional communication across engineering, clinical, sales, and customer success.

Own YipitAgent’s product-led growth motion across acquisition, trial activation, engagement, conversion, retention, and re-engagement. Optimize SEO/AEO, onboarding, in-product education, lifecycle communications, pricing, packaging, and trial experiences. Use customer research, behavioral data, funnel metrics, cohorts, and experimentation to identify growth opportunities. Partner with product, design, engineering, data, marketing, sales, and customer teams to launch, measure, and iterate on experiences that increase trials, active usage, and paid conversion.

Lead product strategy and execution for Cribl’s Core Search platform, including Federated, Metric, and Lakehouse search. Gather customer and partner feedback, prioritize features and defects, manage backlogs and roadmaps, negotiate engineering priorities, and track product metrics. Collaborate with marketing, sales, customer success, and solutions engineering to develop enablement, messaging, training, and launches. Translate technical requirements into actionable plans while managing complex data integrations and multiple priorities.