Top Senior Product Manager Jobs

The role involves defining and executing the vision for Databricks AI, collaborating with engineering teams to develop AI products, and engaging with stakeholders to uncover new use cases.

The Senior Product Manager will define AI vision, partner with engineering, launch products, and engage with customers to innovate enterprise AI solutions.

The Senior Product Manager will drive product strategy and execution, focusing on leveraging technology and AI to improve client and attorney experiences, while partnering with Engineering and Design teams. Responsibilities include leading product initiatives, defining success metrics, conducting user discovery, and collaborating cross-functionally to ensure product delivery and alignment with business goals.

As a Senior Product Manager, you'll lead AI-driven feature development, strategize product direction, and ensure successful launches, while collaborating across teams and iterating on user feedback.

Define and deliver reference architectures and design guides for HPE CloudOps Suite private cloud. Drive product roadmap, translate customer and operational needs into actionable designs, specify non-functional requirements, and collaborate with engineering, architecture, sales and partners to ensure scalable, secure, and adoptable solutions.

Lead strategy and execution for next-generation routing products from ideation through launch and lifecycle management. Define vision, translate market and customer needs into requirements and roadmaps, partner with engineering on architecture and delivery, coordinate GTM and pricing, and drive post-launch improvements and cross-functional alignment.

Own vision and strategy for a core internal developer platform (Cloud Runtime, Security, Database, Key-Value, Messaging). Partner with engineering and stakeholders to define MVPs, prioritize capabilities, measure product metrics, reduce cognitive load, cut costs, improve performance/reliability, and drive internal adoption through feedback, analytics, and cross-functional collaboration.

Lead search and personalization for AgentExchange marketplace: define search quality metrics, build GenAI-powered multi-turn search, improve ranking and recommendations, run experimentation programs, and drive personalization roadmaps to increase discovery, engagement, and conversions across Salesforce surfaces.

Lead Product Manager responsible for enhancing personal loans portfolio through strategic thinking, customer research, and cross-functional alignment. Focus on product discovery and improving customer experience using data-driven insights.

As a Lead Product Manager, you will drive the development and delivery of innovative B2B SaaS products, conduct market research, communicate vision, and manage cross-functional teams.

Own the advertising recommendation engine, including ranking quality, optimization objectives, guardrails, metrics, and model roadmap. Lead experiment design, inference standards, holdouts, rollback criteria, and production launches. Evaluate model performance and business impact with data science and stakeholders. Partner across ML, analytics, ad operations, pricing, identity, telemetry, and commercial teams. Apply advertising economics, ranking systems, SQL, and data-platform expertise to improve monetization for mobile apps and games.

Own the data and identity platform powering advertising, including event taxonomy, schemas, attribution, identity resolution, reporting APIs, real-time signals, and data contracts. Partner with engineering teams to build scalable interfaces for ads, machine learning, and customer reporting while ensuring compliance with GDPR, CCPA, ATT, SKAdNetwork, and consent requirements.

Lead the strategy and roadmap for Demandbase’s orchestration platform, including workflow builders, triggers, actions, integrations, and AI-assisted automation. Partner with engineering to scale high-volume, low-latency event processing and support emerging agentic use cases. Drive platform extensibility, reliability, transparency, and user efficiency across enterprise GTM workflows.

Lead exchange optimization for Roku’s programmatic CTV advertising platform. Own traffic shaping, dynamic price floors, deal optimization, auction mechanics, and experimentation to improve revenue, fill rate, CPM, latency, win rates, and user experience. Partner with data science, engineering, demand partners, executives, and industry groups to productionize optimization models, define technical requirements, forecast supply and demand, and adapt to evolving adtech and privacy trends.

Lead exchange optimization for Roku’s programmatic CTV advertising platform. Own strategies for dynamic price floors, traffic shaping, auction mechanics, deal optimization, and supply-demand forecasting. Partner with engineering, data science, and demand teams to productionize optimization models, run experiments, monitor exchange health, and improve revenue, fill rate, latency, win rate, and user experience. Define technical product requirements, guide roadmap execution, and communicate strategy to executives and industry partners.

Owns end-to-end product management for Cox Automotive’s Instant Cash Offer product, including market and user research, product strategy, roadmap development, backlog refinement, specifications, AI-assisted prototyping, agile delivery, stakeholder coordination, launch readiness, performance measurement, and lifecycle improvement. The role collaborates with engineering, UX, analytics, marketing, sales, and client solutions teams to develop and optimize AI-enabled automotive products.

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 Mercury’s identity, roles, permissions, authorization, and user invitation platform. Develop scalable permission models, enable product teams to build on the platform, improve team onboarding, and define how authorization evolves for enterprise customers and agentic users. Lead research, design, engineering, go-to-market, and stakeholder management independently while balancing platform power with product simplicity.

Owns technical requirements, hardware NPI, product backlogs, lifecycle execution, and user experience for electronic warfare and sensing products. Translates tactical mission needs into hardware configurations and software requirements, coordinates engineering and manufacturing, manages Agile releases, supports customer integrations and field testing, and drives adoption, feedback cycles, and revenue growth. Requires collaboration across engineering, sales, operations, defense integrators, and government customers, with travel up to 25%.

Owns the vision, strategy, roadmap, lifecycle, and commercial performance of HRScale, an Insperity and Workday HCM solution. Leads market research, client discovery, prioritization, business cases, governance, product metrics, pricing and packaging recommendations, partner relationships, and cross-functional execution. Collaborates with Technology, Sales, Marketing, Finance, Legal, Compliance, and Service Operations to improve client value, scalability, adoption, and business outcomes.

Lead product strategy and multi-quarter roadmaps for NVIDIA’s AI Factory software-defined networking stack. Guide upstream development across OVN, OVS, and OVN-Kubernetes; define requirements, priorities, and architecture trade-offs; coordinate dependencies across DPU, fabric, virtualization, and engineering teams; and translate partner and operator needs into product releases, reference deployments, and community strategy.

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Owns the lifecycle and commercial success of a vacuum measurement product portfolio. Develops product roadmaps, pricing, positioning, profitability plans, and go-to-market strategies. Collaborates with R&D, Engineering, Manufacturing, Operations, Sales, Marketing, customers, and external partners on launches, product improvements, negotiations, training, and service escalations. Monitors market trends, competition, customer needs, sales performance, margins, and KPIs to drive growth and long-term profitability.

Lead zero-to-one development of AI-native products across portfolio companies, from problem discovery and MVP definition through implementation, rollout, adoption, and scaling. Partner with operators, executives, engineers, designers, and data teams to identify high-impact opportunities, run pilots, prove product-market fit, define success metrics, and generalize successful solutions into repeatable products. Quantify business impact across adoption, throughput, cost, reliability, and revenue.

Own the product strategy and lifecycle for an AI-powered private equity intelligence platform. Translate business workflows into technical requirements, manage backlogs and sprint planning, guide AI agent development, and partner with engineering teams, vendors, executives, and designers. Lead user discovery and prototype validation while ensuring data privacy, source attribution, secure enterprise storage, and human-in-the-loop experiences. Drive AI roadmap delivery, adoption, user trust, and future platform vision.