Top Product Manager Jobs

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.

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.

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.

Supports and enhances client-facing analytics products by triaging issues, gathering requirements, coordinating product and engineering delivery, validating solutions with SQL, Excel, and Power BI, and identifying scalable product opportunities. The role also supports product commercialization, client change management, documentation, prioritization, and AI-enabled workflow improvements while partnering with client services, business development, data, and software teams.

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.

Lead product strategy and development for cryogenic systems in quantum computing. Oversee R&D, cross-functional collaboration, and market analysis to drive competitive products.

Support product strategy, development, roadmap planning, stakeholder communication, and product team operations for autonomous maritime products. Collaborate closely with engineering, production, software, and mission operations teams, including work aboard ships and on production lines. Analyze customer needs, market trends, competition, and feedback; create documentation and presentations; and help translate technical product capabilities for technical and non-technical audiences.

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.

Define strategy and drive delivery for a portfolio of enterprise AI products. Responsibilities include business discovery, AI prototyping, requirements, product execution, evaluation frameworks, solution architecture, governance, responsible AI, executive communication, and cross-functional leadership. The role establishes reusable AI standards, playbooks, and solution patterns while mentoring product leaders and guiding products from concept through production.

Leads vision, strategy, roadmap, development, launch, and lifecycle management for commercial SAR data products. Collaborates with engineering, sales, marketing, customer delivery, regulatory, and affiliate product teams to define requirements, prioritize capabilities, ensure release readiness, support proposals, and drive customer adoption. Requires deep SAR data and applications expertise, customer advocacy, and experience delivering complex technical products for government or commercial markets.

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 vision, strategy, roadmap, and backlog for internal back-end platform products supporting engineering teams. Lead platform modernization initiatives, define platform capabilities and requirements, track KPIs, and partner with Platform Engineering, Enterprise Architecture, and application teams to deliver scalable, secure, reusable services, APIs, and developer tooling. Balance technical debt, operational needs, and long-term investments while guiding engineering stakeholders and ensuring reliability and quality standards.

Own the strategy, roadmap, and outcomes for G&A data products, initially focused on ERP and Finance data. Translate Finance, Supply Chain, People, Procurement, and Legal workflows into governed, reusable data products supporting reporting, forecasting, inventory, revenue, automation, and executive decisions. Partner with business, technical, security, and vendor stakeholders to improve data quality, enable self-service insights, and drive adoption of analytics and AI capabilities.

Own the vision, strategy, roadmap, and execution for a major vertical within DXC’s OASIS agentic AI platform. Identify high-value opportunities, prioritize user and business needs, partner with Engineering and Design, lead discovery through launch, define success metrics, and drive iteration. The role requires aligning stakeholders, shaping product narratives, making strategic tradeoffs, and influencing product decisions across the organization.

Own end-to-end client launches onto PHIL’s platform, including discovery, configuration, technical scoping, stakeholder communication, and go-live execution. Balance implementation work with product roadmap ownership, using data to improve adoption, engagement, retention, and client value. Translate manufacturer, provider, patient, and business needs into product requirements, collaborate with engineering and design, and drive program optimizations across B2B and B2C experiences.

Own the roadmap, strategy, architecture decisions, developer experience, and adoption metrics for a core Viam platform area. Lead capabilities from problem definition through customer deployment, including migrations and deprecations. Partner with engineering, senior leadership, customers, and forward-deployed engineers to identify bottlenecks and shape platform direction. The role requires software engineering experience, strong technical credibility, developer-facing product expertise, market research skills, and interest in hardware or physical systems.

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

Own the cloud network security product roadmap, define strategy and priorities, and drive product-market fit through customer engagement and proof-of-concept conversion. Lead enterprise buyer and field-team relationships, translate customer needs into engineering requirements, manage trade-offs, and shape go-to-market positioning with product marketing. Advocate for cloud investments across data center, Kubernetes, and platform capabilities.

Own the end-to-end onboarding and fiat funding experience, including signup, KYC, deposits, payouts, payment methods, limits, retries, and banking partnerships. Lead the product roadmap, optimize the signup-to-funded funnel, instrument conversion and drop-offs, conduct user research, create wireframes in Figma, and coordinate engineering, design, compliance, payments, banking, data, and operations. Ensure funding and identity experiences meet high standards for usability, trust, recovery, and regulatory compliance.

Leads vision, strategy, roadmaps, backlogs, requirements, prioritization, development, launches, and ongoing performance for multiple market surveillance products. Uses user research, data analytics, and stakeholder insight to guide product decisions, coordinate cross-functional teams, resolve escalated issues, and improve product outcomes. Coaches junior product managers and supports continuous improvement across the product development process.

Lead ICIS’s forward-deployed product team, working directly with chemicals customers to identify high-value problems, validate AI-driven solutions, and deliver measurable commercial outcomes. Manage multiple customer initiatives, lead cross-functional squads, oversee discovery and delivery, launch proof-of-concepts and paid pilots, and determine whether solutions should be scaled. Build customer trust, influence product and platform priorities, and create playbooks for Sales and productisation teams.

Owns QA strategy and data validation for Sigma and Databricks client implementations. Responsibilities include writing SQL queries, building Excel reconciliation models, validating dashboards and migrations, documenting audit results, leading technical discovery, escalating integration risks, and coordinating with engineering, Salesforce, and infrastructure teams. The role also develops reusable validation templates and implementation checklists while translating technical data issues for clients and cross-functional stakeholders.