Top Product Manager Jobs in Des Moines, IA

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

Lead the vision, strategy, and delivery for Communications Intelligence: build a cross-channel communications data platform, reporting, APIs, and Voice Intelligence. Define metrics, drive data quality and observability, design operational dashboards and workforce intelligence, prototype UX, align cross-functional teams, and mentor product peers to improve contact center outcomes and AI-powered insights.

Drive product discovery and delivery for a data-focused SaaS platform serving public safety. Engage customers, write user stories and specs, coordinate cross-functional teams, integrate datasets/APIs, and lead feature launches and GTM readiness.

As a Product Manager, lead the strategy and execution of healthcare software products, conduct market research, define requirements, and collaborate across teams to ensure successful product delivery.

Lead product strategy and execution for AI-powered solutions across enterprise functions. Build intelligent agents, automation workflows, and operational tools to transform business operations and improve user experiences.

Leads strategy and execution for data products powering threat intelligence solutions. Uses customer insights, big-data analysis, and competitive research to prioritize opportunities, refine API-first products, and integrate data into UI, AI, and third-party workflows. Collaborates with engineering, marketing, sales, and solutions engineering from ideation through launch, influencing stakeholders and executives through data-driven analysis. Requires substantial cybersecurity or data product management experience and expertise in threat intelligence, APIs, analytics, and customer ecosystems.

Leads product vision, strategy, and roadmap development for the Litmos learning platform. Partners with engineering, design, QA, product operations, marketing, and customers to define requirements, prioritize features, establish success metrics, and deliver high-quality capabilities. Conducts market research, analyzes user feedback and data, supports go-to-market initiatives, and ensures platform features meet accessibility, mobile, learning-content, and industry-standard requirements.

Own the strategy, roadmap, and execution for Mindbody’s multi-location and franchise platform. Responsibilities include designing location hierarchies, data synchronization, permissions inheritance, site navigation, franchise fees, revenue transfers, and transactional workflows. The role modernizes legacy infrastructure, manages migrations and rollout risks, partners with Engineering, Design, Payments, and enterprise stakeholders, and uses customer and performance insights to prioritize investments while supporting enterprise retention.

Own the vision, strategy, and execution of AI-first agentic experiences and enabling platform capabilities for Mindbody’s B2B SaaS platform. Lead agentic workflow development, trust and governance standards, evaluation systems, platform adoption, and cross-functional alignment. Partner with Engineering, Design, Data, Security, and Privacy to deliver reliable, scalable AI products while influencing company-wide strategy and coaching product teams.

Owns product initiatives across the platform and client portal, leading discovery, delivery, launch, and iteration. Partners with engineering, design, operations, accounting, implementations, and customers to simplify complex billing workflows, validate problems, define requirements, and shape product direction. The role requires strong ownership, communication, judgment, and the ability to bring structure to ambiguous, data-heavy operational systems.

Own healthcare product definition from discovery through launch and iteration. Define requirements, prioritize roadmaps, ship MVPs, align engineering, clinical, operations, and executive stakeholders, and navigate interoperability across EHRs, payer systems, and other healthcare data sources. Make decisive, data-informed decisions, translate technical constraints into product tradeoffs, and communicate product direction through workflows, prototypes, PRDs, and user stories.

Own the personal loans marketplace product roadmap from ideation through launch. Lead AI-powered consumer experiences, prototype and validate concepts using AI tools, analyze data, run experiments, and prioritize product investments. Collaborate with engineering, design, data, partnerships, and operations teams to achieve OKRs while maintaining accuracy, compliance, and trust in a regulated lending environment.

The Data and AI Product Manager owns product vision, roadmap, backlog, requirements, prioritization, delivery cadence, success metrics, adoption, governance, and stakeholder communication. The role partners with engineering teams and business units to deliver governed data and AI products, measure business value, guide product direction, and support engineering pod leadership. It requires substantial product management experience, SQL proficiency, data platform knowledge, and the ability to translate user and business needs into actionable product decisions.

Lead the user experience strategy and roadmap for Microsoft's internal capacity intelligence platform. Define data-rich interfaces, decision-support workflows, and agentic experiences for planners, operators, and executives. Partner with product, engineering, data science, and business teams to simplify complex workflows, prototype and validate solutions, establish AI behaviors and quality standards, drive adoption, and improve usability, trust, decision quality, and operational effectiveness while meeting accessibility, privacy, security, and responsible AI requirements.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.

The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.

Own the engagement and loyalty product strategy for Kraken and Pro, focusing on retention, session frequency, and lifetime value. Lead product development from discovery through iteration, building growth loops, rewards, gamification, social features, segmentation, and personalized messaging. Partner with Engineering, Design, Analytics, Marketing, Lifecycle, and business leaders to run experiments, optimize funnels, and deliver data-informed improvements across mobile and web products.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

Own end-to-end lending products (origination, underwriting, servicing) and roadmap. Lead integrations with sponsor banks, credit bureaus, and loan management software. Collaborate with engineering, design, risk, data science, compliance to build underwriting, decisioning, and servicing experiences; run A/B tests and document underwriting logic to meet regulatory requirements.

Own product strategy, vision, roadmaps, backlogs, and delivery for enterprise SaaS products serving financial services organizations. Translate strategy into requirements and user stories, lead Agile ceremonies, engage customers, monitor product metrics, manage delivery risks, and align portfolio companies with leadership and cross-functional teams. Identify and deliver AI-enabled capabilities, workflow automation, analytics, and intelligent business solutions.

Own the roadmap and reporting strategy for Ignite Analyze, leading customer-facing and internal reporting initiatives. Translate ambiguous stakeholder requests into scoped engineering requirements, define success metrics, and partner with Billing, Membership and Operations to deliver reports and dashboards. Coordinate with other Insights Product Managers on shared roadmaps, reusable reporting patterns, and platform strategy while balancing domain needs with broader priorities.

Lead product strategy and roadmaps for games social platform features (multiplayer, sharing, chat). Drive end-to-end execution for backend systems and partner tooling, align cross-functional stakeholders, use experimentation and UX feedback to iterate, and partner with Trust & Safety, Legal, and Support to ensure a high-quality, trusted social experience.

Lead product strategy and execution for cloud gaming infrastructure, driving roadmaps, end-to-end projects, and infrastructure innovations. Optimize cloud compute, streaming performance, latency, storage, and developer tools to deliver high-quality game streaming. Collaborate cross-functionally, translate performance data into features, and improve developer workflows to enable scalable, performant game streaming experiences.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmaps; collaborate with engineering, design, data, operations, compliance and business teams; launch features, monitor performance, iterate using data and feedback while balancing speed, UX, business impact, and compliance.

Lead definition and ownership of core growth data models and metrics, build certified data products and agentic features (NL access, anomaly detection, reporting), align teams on shared schemas and definitions, instrument funnels, and drive adoption and retirement of duplicate reports.