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Own and improve Command Center's core onboarding, activation, and enrollment workflows. Define product vision and roadmap, partner cross-functionally, drive digital transformation away from manual processes, measure impact with data, and use AI-assisted practices to accelerate delivery while enabling other teams to build on the platform.

Lead strategy, roadmap, and lifecycle for Members, Chapters, and Agentic Ecosystem APIs. Define API specs (GraphQL/REST), governance, developer experience, and integrations with engineering, data, security, and partners. Enable safe AI agent integrations, enforce consent/privacy, monitor adoption and reliability, and drive API observability, versioning, and deprecation practices.

Lead discovery and early delivery for new product areas: research opportunities, build theses, size markets, and produce shovel-ready briefs, prototypes, and specs. Run small end-to-end projects with engineers, leverage AI/agents to accelerate research and prototyping, and decide whether to spin up squads, build lean, hand off, or kill initiatives. Occasionally cover existing squads as needed and work asynchronously in a documentation-first environment.

Own an end-to-end product area for AI-native mortgage automation. Lead customer discovery, define requirements, prototype solutions, write clear specs, set success metrics, and partner with Engineering, Design, Sales, and Customer Success to ship reliable, regulated B2B SaaS features.

Own the end-to-end data lifecycle for a device intelligence platform: define data collection instrumentation, manage ingestion/storage/processing, and drive analytics, API, and dashboard experiences. Prioritize roadmap across JS Agent, Server APIs, Dashboard, and MCP; run planning, write PRDs, manage migrations, and coordinate launches and customer enablement.

Lead strategy, roadmap, and delivery for Front's channel integrations (Voice, SMS, WhatsApp, Slack). Define requirements, prioritize roadmap, collaborate with engineering, design, partnerships, data, and sales, and use quantitative and qualitative insights to drive customer-focused, high-impact product launches.

As a Senior Product Manager focused on clinician experiences, you will drive product strategy, development, and stakeholder collaboration to enhance patient care via a digital ordering platform for medical equipment.

Lead the product vision and strategy for Flosum's Salesforce-native solutions, focusing on AI-driven DevOps, security, and customer insights. Engage with enterprise clients to define product capabilities and drive competitive market positioning.

Own and evolve a core area of C1.ai's Identity Governance platform. Define product strategy and roadmap, translate customer feedback and data into investments, prioritize features vs technical debt, write clear requirements and success metrics, partner cross-functionally with Engineering, Design, GTM and Customer Success, monitor product health, and drive adoption and customer outcomes for enterprise-scale IGA capabilities.

Lead platform product strategy and roadmap for cloud-native shared capabilities. Translate engineering needs into product requirements, define adoption and reliability metrics, partner with engineering, security, and clients, and prioritize platform investments to improve developer velocity, reliability, security, and cost-effective scale.

Lead product management for Drift's Shopify-based DTC subscription and ecommerce experience. Define and prioritize digital product enhancements, run A/B tests, measure performance, and collaborate with Engineering, Design, Analytics, Marketing, and CX to drive conversion and customer delight.

Lead a major product area end-to-end for a platform that securely shares engineering models and simulations in defense acquisition. Conduct customer research, define success metrics and roadmap, write specs with engineers, engage senior stakeholders, and drive ambiguous, technical features to shipped products.

Lead multi-year vision and roadmap for Account Intelligence and related consortium-powered products. Own product lifecycle from discovery through launch and scale, partner with Engineering and Data Science, drive cross-functional alignment, measure business performance, and engage customers to shape data-driven B2B solutions in payments, identity, and fraud.

Define and own product vision and strategy for Waymo's autonomous vehicle simulator. Lead cross-functional teams to gather requirements, prioritize roadmap, improve simulator realism and efficiency, and integrate large-scale foundation models for simulation and synthetic data generation.

Own end-to-end product areas for AI-driven voice conversations: define strategy and roadmaps, author outcome-driven PRDs, partner with engineering and design, validate with customers, and drive cross-functional execution to deliver scalable, reliable voice AI products.

Lead the end-to-end originations product line for AI origination agents: define roadmap, work with AI engineers on autonomy and evals, manage deployments and customer adoption, close feedback loops, and own product marketing and positioning.

Lead product strategy and execution for Nash's enterprise logistics platform. Define requirements, own the product lifecycle, run discovery with customers, validate technical solutions, and launch AI-enabled integrations with OMS/WMS/TMS/POS systems. Drive analytics, documentation, and go-to-market enablement while testing AI models and agent features to improve operational workflows and enterprise value.

Lead product strategy and execution for Nash's logistics platform, integrating enterprise systems (OMS/WMS/TMS/POS) and AI models. Drive discovery, prioritize features, scope requirements, validate with customers, support launches, build enablement materials, and measure product impact to deliver operational value for large enterprise customers.

Own vision and roadmap for shared platform services (policy, workflow/approval, inbox, notifications). Collaborate with customers and internal product teams to define requirements, drive API-first self-service design, deliver multi-tenant, auditable policy and orchestration capabilities, and measure adoption across a microservices, event-driven SaaS platform.

Lead the Cloud Networking Product team to enhance the connectivity of Confluent Cloud. Responsibilities include product lifecycle management, user analysis, and collaboration across teams to ensure successful product initiatives.

Own the Appliance Platform within Device OS, defining roadmap and delivering lifecycle, fleet operations, configuration, infrastructure, and operator tooling to support scalable, reliable, and secure appliance deployment and management across a global fleet.

Lead product strategy and roadmap for mid-market CX and BPO solutions. Conduct customer discovery, prioritize omnichannel and AI investments, partner with Engineering, Design, Data Science and GTM to deliver features, drive launches and adoption, define success metrics, and influence executives using data-driven recommendations.

Lead product strategy and execution for logs within Elastic Observability. Evolve logs analytics and end-to-end log collection/ingest/management, integrate GenAI/agentic workflows, enable automated SLO/SLI tracking, intelligent alerting, and correlation of logs, metrics, and traces. Collaborate with Engineering, UX, Sales, and Marketing, drive go-to-market and feature adoption, and use user feedback and engagement metrics to prioritize product evolution.

Lead a strategic product area in DigiCert's DNS and digital trust portfolio. Define vision, roadmap, and requirements for trusted discovery, policy enforcement, and agentic infrastructure. Partner with engineering, security, cloud teams, and customers to deliver API-first, cloud-native services. Use telemetry, experimentation, and AI-assisted tools to validate use cases, track success metrics, and drive GTM activities including launches, pricing, and adoption. Prioritize security, privacy, compliance, performance, reliability, and operational resilience.

Lead the product strategy for Scribd's internal developer and agentic platforms: unify AI workstreams, own internal app/plugin/agent runtimes, translate functional needs into platform requirements, drive cross-functional adoption and metrics, and run internal rollouts and evaluation to prove impact.