Top Remote Product Manager Jobs in San Diego, CA

Own the strategy, vision, roadmap, and customer outcomes for Infoblox’s Network Monitoring System within its network observability portfolio. The role requires translating customer, market, and technical insights into product priorities, requirements, and measurable outcomes. Responsibilities include integrating network telemetry and infrastructure data, advancing AI-enabled operations, prioritizing investments, and aligning Product, Engineering, Sales, Marketing, Customer Success, Support, and executives.

Own the strategy and roadmap for Dremio Cloud’s platform infrastructure, including control and data planes, regional networking, observability, reliability, provisioning, capacity planning, self-healing, and cost optimization. Define operational models for private and sovereign deployments, use telemetry and customer signals to guide improvements, and collaborate with engineering, cloud operations, security, finance, and revenue operations. Drive technical alignment, documentation, enablement, and smooth issue transitions across teams.

Own the end-to-end product lifecycle for a virtual women’s behavioral health platform, including user research, product specifications, prototyping, launches, operational tooling, metrics, dashboards, and roadmap prioritization. Partner with engineering, clinical, operations, and leadership teams to scale patient-journey systems, configure third-party tools, and use AI to improve product development while protecting patient privacy and clinical accuracy.

Own the strategy, roadmap, development, and performance of Rivet Education’s digital products, including an implementation dashboard, professional learning guide, and AI products. Research customer needs, define requirements and user experiences, manage external development vendors, prioritize releases, conduct acceptance testing, monitor product and business metrics, and guide pricing and packaging decisions. The role requires strong product leadership, technical fluency, customer insight, and independent execution in a remote environment.

Own Pinterest’s strategy and roadmap for combating deceptive commerce content, including scams, fake storefronts, AI-generated abuse, and misleading merchant content. Define metrics, detection and enforcement approaches, and partner with Policy, Engineering, Data Science, Operations, Monetization, and Adversarial/Spam teams. Lead ML-powered detection products, manage enforcement tradeoffs, analyze adversarial dynamics, and drive cross-functional alignment to protect users while limiting false positives.

Own the roadmap, modernization, strategy, and growth of merchant onboarding and monitoring products for financial institutions and payment providers. Lead customer transitions, define requirements, prioritize backlogs, collaborate with Engineering and Data Science, evaluate product performance, and support go-to-market readiness. The role requires strong technical fluency in SQL, APIs, data models, AI-enabled solutions, and business-case development, along with customer engagement and cross-functional leadership.

Leads product vision, strategy, roadmap, market research, requirements, prioritization, pricing, competitive analysis, and customer messaging. Drives product development and launches by coordinating with customers, technology, sales, and cross-functional stakeholders. Defines success metrics, evaluates product performance, guides product evolution, and influences organizational decisions through strong leadership, communication, business acumen, and strategic planning.

Own the host side of Peerspace’s two-sided marketplace, including onboarding, activation, listing quality, messaging, availability, and scheduling tools. Research host needs, translate insights into product solutions, define and improve business metrics, align cross-functional stakeholders, influence executives, and drive product execution from strategy through measurable outcomes.

Lead product strategy, define vision and roadmaps, gather and prioritize requirements, translate objectives into specs and user stories, manage lifecycles from discovery to launch, collaborate with design and engineering, set KPIs, analyze market and customer feedback, and drive data-informed product improvements.

Own the strategy, roadmap, backlog, and KPIs for Salesforce-centered Sales and Marketing platforms. Translate commercial needs into prioritized requirements, manage CRM and marketing automation integrations, lead planning and release governance, and guide build-versus-buy decisions. Partner with engineering, architecture, and stakeholders to improve adoption, data quality, funnel efficiency, and delivery predictability. Evaluate new tools, communicate tradeoffs to leadership, and drive measurable business outcomes across the commercial technology portfolio.

Leads the discovery, development, launch, and scaling of AI-first product capabilities. Translates ambiguous customer problems into hypotheses, requirements, evaluation criteria, roadmaps, and measurable outcomes. Partners with engineering, UX, tax SMEs, go-to-market, and customer success to prototype and operationalize reliable, compliant AI solutions. Owns AI quality, monitoring, performance, feedback loops, responsible AI practices, and continuous improvement while influencing cross-functional stakeholders and mentoring junior product owners.

Supports product strategy, roadmap development, lifecycle management, market research, customer feedback, requirements definition, cross-functional development, launch readiness, and ongoing product improvement for regulated healthcare software, devices, and services. Coordinates timelines, documentation, stakeholder communications, training, sales enablement, risk management, and performance monitoring while ensuring quality and regulatory alignment.

Own the strategy, roadmap, governance, and external productization of ComPsych’s Databricks-based data platform and API layer. Define data products, schemas, quality standards, documentation, access tiers, SLAs, and developer experiences. Partner with Data Engineering, Architecture, Sales, Legal, and Security to manage sensitive behavioral health and absence data, external data-sharing agreements, and commercial opportunities. Guide API versioning, onboarding, support, and data governance while balancing technical, compliance, and customer needs.

Own the strategy and roadmap for Dave’s financial data platform, including vendor integrations, data ingestion, normalization, storage, access, quality, and monitoring. Partner with Engineering and Data Science to create financial signals that improve underwriting and repayment prediction. Manage data partners, evaluate new sources, define platform KPIs, and connect data improvements to approval rates, losses, retention, and future credit products.

Own the zero-to-one strategy and execution for RevenueCat’s user acquisition products. Research mobile acquisition workflows, identify high-value opportunities, define and test product hypotheses, collaborate with engineering and cross-functional teams, and ship measurable products or experiments. Serve as the internal expert on mobile performance marketing, attribution, privacy, acquisition economics, and how monetization data can improve user growth.

Own technical product initiatives end-to-end, including discovery, specifications, prioritization, AI prompt and evaluation design, metrics, backlog management, delivery coordination, and launch readiness. Partner with Legal Strategy, Engineering, Design, Operations, and Marketing to ship software, analyze product performance, and continuously improve outcomes in a fast-moving startup environment.

Own long-term product strategy and roadmap for Circle's digital assets and capital markets platform. Lead cross-functional initiatives, manage regulatory and market risks, define forecasting and liquidity models, influence executives, and mentor product managers to scale global stablecoin and capital access infrastructure.

Own a defined area of an AI-powered oncology platform, managing its backlog, specifications, release notes, documentation, analytics, and performance measures. Write user stories and acceptance criteria, coordinate backlog grooming and sprint planning, collaborate with engineering and clinical teams, gather user feedback, prioritize improvements using data, and validate product releases.

Own the AI Services product strategy, roadmap, and execution for agentic workflows, MCP tools, connectors, and AI quality infrastructure. Define agent behavior, evaluation frameworks, integrations, metrics, and risk controls while partnering closely with engineering, architecture, security, legal, and consuming product teams. Drive adoption across the portfolio, make technical trade-offs, communicate outcomes to leadership, and deliver reliable AI capabilities for enterprise finance and accounting users.

Own the vision, roadmap, and delivery priorities for an AI infrastructure resilience platform. Partner with engineering, cloud providers, and cluster operators to improve GPU node health, workload failure attribution, scheduler readiness, and developer experience. Lead open-source community engagement, translate operational requirements into product capabilities, and guide architecture and execution. The role requires deep GPU cluster operations expertise, knowledge of hardware and software failure signals, and experience supporting large-scale AI infrastructure.

Lead growth initiatives for Quora’s core web and mobile products, owning acquisition, activation, and early retention. Partner with engineering, design, data science, and product operations to define objectives, build experiences, run experiments, analyze user insights, and identify strategic growth opportunities. The role requires influencing cross-functional teams, expanding reach to new demographics, and driving measurable user growth through qualitative and quantitative research.

Owns the Dragos Platform’s release architecture, packaging, documentation, communications, and delivery across on-premises, cloud-hosted, customer-hosted, and hybrid environments. Manages cloud vendor relationships, coordinates release mechanisms and schedules, develops reference architectures, and partners with Engineering, Product Marketing, Support, Customer Success, and customers to prioritize deployment capabilities and ensure reliable releases.

Lead the end-to-end development of agentic AI products for workforce management, from operational research and agent definition through prototyping, evaluation, enterprise deployment, and commercialization. Define human-in-the-loop controls, tools, escalation rules, specifications, and release criteria. Build prototypes, prompts, evaluation sets, and code contributions while diagnosing model and system failures. Partner with enterprise design customers, engineering, AI Lab, executives, and go-to-market teams to deliver reliable, compliant products.

Own the strategy and roadmap for enterprise identity and multi-user capabilities, including RBAC, organization management, SSO, provisioning, authentication, and account security. Lead cross-functional launches with engineering, security, legal, privacy, and customer experience teams. Define platform vision, address vulnerabilities, establish privileged-access safeguards, and translate complex identity requirements into intuitive experiences for business and consumer customers.

Own product strategy and outcomes for financial services and data platforms. Lead payments, billing, refunds, financial aid, data quality, analytics, and Microsoft Fabric migration initiatives. Partner with engineering, design, finance, compliance, and internal data users to frame problems, run experiments, prioritize investments, and improve payment success, chargebacks, data quality, Power BI adoption, and self-service analytics.