Top Remote Principal Product Manager Jobs

Own product roadmaps and execution for fintech products; gather customer insight, define requirements, collaborate with engineering and operations, drive launches, measure performance, and iterate to deliver business value.

Lead AI-native telemetry product strategy and roadmap, partner cross-functionally with engineering, sales, and field teams, use product and usage data to inform decisions, drive integrations with cloud and enterprise data tools, engage customers for adoption, and deliver high-value AI experiences across cloud, on‑prem, and hybrid environments.

The Principal Product Manager will own connectors and ecosystem strategy, driving product roadmap, building partnerships, and enhancing customer engagement within the ClickHouse ecosystem.

Lead a major product area end-to-end: set strategy and KPIs, define customer personas and market thesis, prioritize features, drive execution with engineering, and align cross-functional stakeholders to deliver high-impact AI-enabled hiring and people-analytics solutions.

Lead AI-first product strategy and roadmap for Azure HPC & AI compute platform. Drive market and customer analysis using AI, define features, prioritize backlog, coordinate SWE/HWE/Design/Security, manage go-to-market and performance metrics, ensure security/compliance, and drive adoption, monetization, and deprecation decisions across multiple feature areas.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Own end-to-end capacity delivery for Azure AI infrastructure, including NeoCloud partnerships and large-scale GPU deployments. Lead integrated execution plans, risk management, milestones, operational reviews, metrics, and continuous improvement across engineering, datacenter operations, networking, supply chain, finance, and external providers. Identify and implement AI, automation, and agentic workflows to improve infrastructure delivery predictability, reduce operational toil, accelerate execution, and support Microsoft's AI infrastructure strategy.

The Principal Product Manager will lead product strategy and development for Akamai's Public Sector cloud products, ensuring compliance and collaborating with stakeholders.

Lead product for internal AI and ops automation platforms across credit card operations, fraud, banking, collections, and engineering productivity. Own vision, roadmap, and KPIs; use LLMs to automate workflows end-to-end; conduct user research with ops and cardholders; and drive cross-functional delivery to lower cost-to-serve while improving customer and ops experience.

Lead strategy and delivery for Sureify's external-facing API platform (including IRI DFA). Define roadmap, author API specs, engage carriers, represent Sureify in standards groups, evangelize the product, and partner with engineering, sales, and professional services to build a scalable, developer-friendly API suite.

Own the end-to-end strategy, roadmap, requirements, delivery, launch, and measurement of AI-powered security operations products. Partner closely with engineering, sales, customer success, and enterprise security customers to prioritize work, build trust through transparency and control, and define how autonomous agents transform SOC workflows.

Own the strategy and roadmap for G2’s full Content portfolio, integrating content systems, AI-enabled workflows, advertising or activation products, distribution, measurement, and commercial capabilities. Build trustworthy, reusable content operations with rights, provenance, approvals, and human oversight. Lead portfolio consolidation, customer discovery, experimentation, cross-functional alignment, and metrics while preserving editorial independence and driving customer and business outcomes.

Own the product roadmap for AI workload and agent runtime orchestration across Kubernetes clusters and heterogeneous accelerators. Responsibilities include deployment APIs, workload placement, capacity, autoscaling, isolation, networking, governance, metering, reliability, and auditability. The role spans two engineering pods and requires deep expertise in Kubernetes, GPUs, distributed systems, multi-tenancy, platform APIs, and technical prototyping, with influence across matrixed teams and no direct reports.

Lead and build new ventures end-to-end at brightwheel: discover customer needs, prototype and ship AI-enabled products, prove business models and unit economics, recruit and grow teams, and drive outcomes with the CEO and executive team toward product-market fit and scale.

Lead data product strategy and backlog as Scrum Product Owner to ingest, clean, and aggregate people data. Define data quality, acceptance criteria, and entity resolution improvements, collaborate with data science and engineering, evaluate vendors, and drive batch append and identity graph product enhancements.

Own the connective layer that makes a portfolio of product agents behave as a single coherent experience. Define agent discovery, invocation, hand-off, accountability, and shared primitives (identity, context, memory, routing, guardrails). Set interface strategy across portal, APIs, MCP, and connectors; establish standards, metrics, and a multi-quarter roadmap; align cross-functional teams to ship measurable agentic journeys.

Lead product strategy and roadmap for a cloud-native AI intelligence platform for Security Operations Centers. Engage customers and cross-functional teams to define requirements, prioritize features, and drive delivery of agentic AI, vision and orchestration capabilities that automate detection, verification, and response.

Lead product strategy, roadmap, and client-facing product advisement for healthcare infusion-related solutions. Define requirements, collaborate cross-functionally (Client, Product, Architecture, Dev, QA, Design), support UI/UX and pharmacy process optimization, drive go-to-market activities, competitive analysis, training, pricing validation, and ensure HIPAA/compliance adherence throughout the product lifecycle.

Lead portfolio-level product vision and strategy, drive cross-product innovation through discovery and data, align engineering and GTM teams, shape enterprise pricing and commercial strategy, influence executive leadership, and mentor the product organization to deliver scalable learning solutions.

Lead end-to-end product execution for an AI-native platform for hardware development: run discovery with hardware teams, write specs and PRDs, drive roadmap and timelines, prototype and demo early, and translate hardware program workflows into shipped product.

Lead strategy and execution for AI-powered vibe coding and prebuilt application templates. Own vendor integrations, experience design, workflow orchestration, and product quality. Define standards, drive discovery and adoption, set success metrics, coordinate cross-functional priorities, and launch features that increase template usage and iteration.

Lead product strategy and technical design for privacy-safe, multi-party data clean room integrations and identity resolution. Drive cross-functional execution with Engineering, Data Science, Legal, and BD, commercialize a major product line, mentor PMs, resolve systemic API/data pipeline issues, and communicate initiatives to executives and external partners.

Lead strategy and execution for Yahoo Mail client platforms and shared services across web, iOS, Android and emerging surfaces. Own platform vision, roadmaps, and cross-team initiatives for authentication, identity, privacy, security, and client frameworks. Drive platform transitions, stakeholder alignment, and metrics for performance, reliability, cost, and developer productivity.

Own the AMG product roadmap for NeuralMesh: define KV-cache/prefix-cache offload, memory tiering, and integrations with inference engines and orchestration. Translate GPU/memory/network tradeoffs into product requirements, validate benchmarks with enterprise customers and GPU-cloud partners, partner with NVIDIA for certifications, and support sales with technical positioning to reduce cost-per-token and improve inference SLAs at scale.

Own the end-to-end customer-facing conversational agent across chat and voice: roadmap, conversation and interface design, partner discovery and launches, Figma-driven design, prototype building with AI tools, define quality metrics, and iterate agent behavior from production data.