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Lead product for Reporting & Measurement, owning roadmap and lifecycle for intuitive reporting. Partner with engineering, design, and data science to build ETL pipelines, analytics, and visualizations that measure TV campaign impact beyond direct-response (brand, audience, upper-funnel). Prioritize data sources, modeling tradeoffs, and stakeholder collaboration to deliver customer-facing measurement products.

Own end-to-end delivery for major enterprise accounts: scope pilots, lead pod operations, translate customer requirements into prioritized product specs, coordinate engineering, run stakeholder reviews, manage escalations, identify expansion opportunities, and feed insights into the core roadmap. Mentor junior PMs at senior levels.

Lead Ray Data, a scalable data processing library, by managing the product roadmap, encouraging open source adoption, and engaging with customers.

Own end-to-end developer experience for deploying and operating ML models: CLI/SDKs, console, onboarding, model discovery, deployment lifecycle (canary, A/B, rollback), multi-model composition, and developer-driven workflows. Drive customer research, ship improvements, and make Baseten the default platform for production model serving.

The Forward Deployed Product Manager at Cerebras leads customer engagements, co-architects AI solutions, and influences product roadmaps to enhance AI applications in various industries.

The IXL Product Manager will enhance educational products by understanding user needs, developing seamless experiences, managing project schedules, and collaborating across teams to deliver impactful features.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Own an AI finance product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation frameworks, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable financial products across payments, trading, wealth, and related services. Ensure accurate funds handling, trusted AI features, regulatory compliance, and effective execution in a distributed global team.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering across APIs, data flows, ledgering, reconciliation, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, compliance, operations, finance, and external partners.

As a Principal Product Manager, you'll own strategy and execution for automated decision systems, collaborating across teams to define workflows, ensure safety, and validate customer trust in the product.

Lead 0→1 product development for Emerald Cloud Services: define vision, conduct customer discovery, set product requirements for AI compute provisioning and management, partner with engineering and GTM teams, and launch and scale cloud services for enterprise and AI customers.

Lead the core compute platform product, defining roadmap and technical requirements for workload orchestration, control plane APIs, telemetry, and observability. Partner with engineering and customers to deliver scalable, reliable platform services (GPU integrations, telemetry pipelines), drive releases, and prioritize investments balancing customer value and long-term architecture.

As a Senior Product Manager at Loti AI, you'll develop strategies, manage product roadmaps, and lead cross-functional teams to protect digital identity through innovative solutions.

As a Senior Product Manager at Broccoli AI, you will prioritize product development, manage tradeoffs, coordinate go-to-market strategies, and ensure successful rollouts of AI-driven solutions for home service businesses.

The Senior/Principal Product Manager will lead new product initiatives at Zip, expanding into new markets and ensuring alignment with user needs and company strategy.

Lead product strategy and execution for Zip's AI Agent platform area. Partner with engineering, design, and AI research to build agent/chat capabilities, own quality (evals, guardrails, feedback), work with customers, and enable other teams to build on the platform.

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

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 end-to-end strategy, roadmap, metrics, backlog, technical design, regulatory readiness, and launch of an AI-powered investing product. Partner with engineering, compliance, operations, treasury, finance, and design to ensure correct money movement, resilient integrations, trusted AI behavior, and compliant releases. The role requires strong technical product leadership, system design expertise, regulated-domain experience, and hands-on understanding of LLM evaluation and risk management.

Own an AI stockbroking product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements including KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Define and prioritize product features, bugs, and improvements for Preset and Apache Superset. Collaborate with engineering and design to deliver and validate functionality, write specs and user-facing documentation, coordinate launches with marketing, gather feedback from customers and the open-source community, and shape product strategy based on competitive research and user interviews.