Top Principal Product Manager Jobs

Own product vision and multi-year strategy for M365 Fleet Infrastructure to ensure availability, durability, reliability, performance, and efficiency at hyperscale. Drive roadmap, KPI/SLA definitions, capacity modeling, provisioning/decommissioning, Azure-based modernization, and cross-group alignment to support Copilot/AI workloads. Translate complex platform needs into executive-facing investment narratives and measurable outcomes.

Lead strategy and roadmap for AI-powered personalization and content ranking across Edge, Windows, Copilot, and partners. Define representation, retrieval, features, objectives, training, evaluation, and serving for recommendation and personalization systems. Drive evaluation, experimentation, and cross-team integration; set quality bars, privacy and policy guardrails; align VP-level stakeholders and influence resource allocation to build scalable personalization and ranking platform capabilities.

Own strategy and execution to expand RaptorDB's analytical modality into a multi-modal data platform. Define 12-month and 3-year roadmaps, prioritize and translate customer use cases into epics and user stories, collaborate with engineering on architecture and releases, engage enterprise customers and field teams, and define success metrics to drive analytics, unstructured data pipelines, and query/serving capabilities at scale.

Lead end-to-end product initiatives for a mobile-first AI-driven higher-education platform. Own 0→1 and scaling work across onboarding, engagement, retention, gamification, experimentation, and product quality. Prototype, iterate quickly with engineering and design, use data and user insight to drive growth, and partner closely with founders and leadership.

Drive the revenue strategy and product roadmap, innovate product features, collaborate with teams, and perform research for successful product management.

Lead vision and execution for agentic AI products that reason, plan, and act across apps and the web. Define MVPs from model capabilities, collaborate with research/engineering/design, set up data and evaluation processes, balance infrastructure trade-offs, and drive adoption and continuous improvement for scalable generative AI experiences.

Lead early adoption of new Microsoft Security products by partnering with enterprise customers, product teams, and field organizations. Translate customer feedback into scalable AI-powered solutions, use experimentation and telemetry to improve outcomes, define adoption and performance metrics, guide roadmap investments, and influence senior leaders across complex cross-functional initiatives. The role also supports product launches, customer adoption programs, product-led growth, and achieving strong product-market fit.

Leads the vision, strategy, roadmap, and execution for Procore’s Safety product portfolio. Identifies AI and machine learning applications, evaluates new market opportunities, conducts customer and competitive research, and builds business cases. Partners with engineering, design, marketing, sales, and customer success to launch high-impact features. Mentors product teams, communicates strategy to executives and stakeholders, and uses product metrics and customer feedback to improve adoption and business outcomes.

Leads the lifecycle, strategy, roadmap, requirements, business cases, launch, performance, and obsolescence management of hardware in-flight entertainment products. Aligns executives, airlines, partners, engineering, commercial, operations, supply chain, and design teams; owns product-line P&L and success metrics; presents strategy to stakeholders; supports sales opportunities; leads innovation workshops; and mentors Product Managers.

Lead go-to-market strategy for an AI product area: define customer segmentation, launch and adoption plans, enable field teams, measure business performance, translate market signals into prioritized actions, and align cross-functional stakeholders to drive scaled adoption.

Lead the Growth Suite to build a product-led growth funnel—marketing/signup, free trial, onboarding, activation, retention, and expansion. Optimize first-90-day churn, own trial monetization and packaging, drive experimentation and instrumentation, and lead PMs while aligning across sales, CS, growth engineering, and data.

Own the design and adoption of ServiceNow’s AI product evaluation and feedback ecosystem. Build automated evaluations, human review processes, feedback taxonomies, and closed-loop improvement mechanisms across AI-powered support products. Partner with Product, AI/ML Engineering, Data, Telemetry, and Operations teams to define requirements, metrics, governance, and prioritization. Use evaluation findings and customer support insights to improve resolution quality, establish shared development standards, and influence senior stakeholders across the organization.

Lead post-training product decisions for Copilot by embedding with ML researchers and engineers, reviewing model outputs, running RLHF/preference data campaigns, building behavior evaluations, turning user and incident feedback into tuning priorities, and balancing helpfulness, safety, and enterprise requirements across Copilot surfaces.

Lead editorial direction, quality standards, and scalable evaluation frameworks for AI-powered content products across MSN and Microsoft surfaces. Partner with product, engineering, and design teams on model evaluation, prompt engineering, trust and safety, workflow improvements, and strategic planning. Drive data-informed decisions, editorial accuracy, content quality, and cross-functional execution for broad audiences.

Lead product strategy and execution for the Mytonomy patient engagement platform. Define roadmap, validate opportunities through research and analytics, expand EMR/CRM/API integrations, and apply AI/ML to improve patient outcomes while partnering with cross-functional teams to drive commercialization and adoption.

Seeking a Principal Product Manager to drive customer retention strategies and enhance digital experiences for a personalized beauty brand, collaborating across teams to execute initiatives effectively.

The Senior Product Manager will oversee the Measurement, Planning & Optimization product, drive insights from data, and foster cross-functional collaboration to shape product development and strategy.

Lead product strategy and execution for Mytonomy's patient education and engagement platform. Own roadmap, discovery, research, and data-driven prioritization; expand integrations (EMR/EHR, CRM, APIs); collaborate across engineering, sales, marketing, and customer success; identify and apply AI/ML and predictive analytics opportunities; evaluate new product investments and commercialization to improve patient engagement and outcomes.

Own strategy and roadmap for identity resolution engines that match visitors to people and companies. Drive data source integrations, improve match accuracy, resolve data quality issues, build monitoring, collaborate with engineering and data science, and enable GTM teams while ensuring privacy compliance (GDPR/CCPA). Measure impact via match rates, coverage, latency, and downstream revenue.

Lead the development and delivery of ClickHouse Cloud, focusing on product roadmap, customer engagement, and cross-functional collaboration.

The Principal Product Manager will design and lead AI-driven systems for pricing intelligence, financial reconciliation, and supplier performance reporting in the travel sector, collaborating with data science and engineering teams.

The Principal Product Manager will define, build, and commercialize the HTS API Marketplace, coordinating across teams and managing the revenue model while utilizing AI tools for rapid prototyping.

Lead the development of pricing intelligence and reconciliation systems for travel services, focusing on AI-driven insights and cross-functional execution.

The Principal Product Manager will define and build the HTS API Marketplace, coordinating with teams to develop coherent, enterprise-grade API products, manage commercial models, and establish the go-to-market strategy while utilizing AI for rapid prototyping.

Lead development of model-driven pricing intelligence, supplier performance signals, and automated financial reconciliation across flights, hotels, cars, and ancillaries. Define roadmaps, productionize predictive models, implement monitoring/drift detection, and deliver cross-functional, measurable systems that ensure revenue integrity and marketplace economics.