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Own the W&B Models product roadmap for ML experiment tracking, training visualization, monitoring, evaluations, and large-scale analysis. Partner with researchers, engineering, design, and go-to-market teams to understand workflows, define product strategy, ship polished experiences, and improve performance using customer feedback and usage data. The role requires strong ML research fluency, technical product management experience, data visualization instincts, AI tool proficiency, and clear stakeholder communication.

As a Product Manager on the Logistics team, you will enhance shipping systems, improve reliability and affordability, and collaborate with cross-functional teams to support logistics infrastructure for the marketplace.

Embed with enterprise customers to scope, configure, test, and run AI agent deployments from pilot to production. Translate field insights into prioritized product direction, build deployment playbooks and AI-powered tooling, coordinate across customer success, engineering, and product, and co-own measurable deployment outcomes and iterative improvements.

Own strategy and roadmap for core insurance/payment platforms, driving claims processing through reconciliation. Design automated workflows with robust exception handling, reduce financial leakage, build internal tooling for operations, and lead cross-functional initiatives with Engineering, Data, Operations, and Finance to improve provider and patient payment experiences.

Own product areas for an autonomous banking platform, translating backend capabilities (APIs, async workflows, ML) into user-facing features. Conduct customer discovery, define technical requirements and acceptance criteria, prioritize backlog, partner with engineering on scoping and de-risking, and validate outcomes using feedback loops and analytics.

The Senior Product Manager will define enterprise product roadmaps, requirements, MVP experiences, and experiments. They will collaborate with engineering, design, marketing, customer success, and other teams to build, launch, and improve products that drive growth and retention. Responsibilities include customer interviews, prioritization, release planning, risk and dependency management, stakeholder communication, and translating strategic vision into actionable deliverables.

Own the product experience for healthcare executives and operators using Notable’s AI platform. Lead strategy, customer discovery, intuitive product design, proactive intelligence and agent development, adoption and expansion experiments, and product-led growth. Partner with engineering, Customer Success, and go-to-market teams to increase utilization across the deployed customer base, improve onboarding, deliver actionable insights, and turn customer maturity and expansion into product-driven experiences.

Lead multi-year product strategy for non-human identity and access across MongoDB Atlas, core database, and developer platforms. Drive workload identity federation, programmatic access, AI agent authorization, and developer-first access management. Partner with engineering, UX, and GTM to validate enterprise requirements, prioritize initiatives, and measure adoption. Represent MongoDB externally and mentor PMs to elevate product quality.

Lead the vision, strategy, and roadmap for an embedded Automatic Content Recognition platform powering Smart TVs. Partner with embedded engineering, chipset vendors, data engineering, data science, QA, and business teams to modernize architecture, optimize resource-constrained performance, define requirements and metrics, prioritize technical initiatives, and deliver scalable content recognition capabilities.

Drives feature-level strategy, requirements, roadmap planning, execution, and deployment for C3 Generative AI products. Collaborates with engineering, data science, marketing, sales, and customers to translate technical and market needs into product specifications and software capabilities. Conducts customer scoping sessions, demos, and analyst presentations, while supporting marketing collateral and feature releases.

Own the roadmap and outcomes for Claude-powered internal products and automation. Partner with Legal, IT, GTM, Product, Finance, Security, and Engineering to prioritize needs, define requirements, ship iteratively, drive adoption, manage change, and measure business impact. Ensure products are maintainable, secure, governed, and aligned with internal data-handling policies while communicating tradeoffs and progress to leaders and technical teams.

Own product areas from discovery through launch, engage customers, research the AI agent ecosystem, identify zero-to-one opportunities, and partner with engineering, design, marketing, and sales. Define success metrics, prioritize under uncertainty, coordinate launches, and contribute to product strategy and roadmap for technical APIs, SDKs, and agent infrastructure.

Lead end-to-end AI product discovery, prototype and ship working ML/AI solutions for HR, Marketing, and Commercial teams. Build first prototypes yourself, partner with engineers to productionize, define success metrics, and drive adoption and business impact.

Lead intercompany product strategy for agentic financial operations: define roadmap for continuous matching, netting, settlement, and eliminations; set AI-native and human-in-the-loop policies; drive cross-functional execution, business cases, and customer early-access; mentor PMs and ensure operational excellence.

Own and evolve Traba’s staffing marketplace product across enterprise customers and workers. Define product strategy, solve two-sided marketplace challenges, write requirements, partner with engineering and design, improve liquidity, fulfillment, matching quality, and operational efficiency, and build internal tooling. Use data and customer research to launch scalable solutions across regions and industrial environments while collaborating closely with operations, sales, and leadership.

Build Traba’s 0-to-1 AI agent platform for industrial supply chain workflows. Define product strategy, requirements, agent behavior, evaluations, quality frameworks, and system architecture. Partner closely with founders, engineering, ML, design partners, and customers to prototype, launch, and improve autonomous agents that reason through workflows, use tools, maintain context, and execute meaningful work. The role requires strong technical judgment, customer embedding, rapid experimentation, and comfort operating in highly ambiguous startup environments.

Lead the development and institutionalization of Bank of Marin’s product management strategy and function. Develop and deliver competitive financial products and services using data analytics, business requirements analysis, and cross-functional collaboration. Focus on customer experience and digitalization while overseeing product initiatives and deliverables. Requires strong communication, negotiation, organizational, analytical, presentation, and problem-solving skills, along with banking product knowledge and flexibility to work early mornings, evenings, and weekends.

Own the roadmap for Superhuman’s core data model and shared platform services across multiple products. Define canonical entities, relationships, events, permissions, and semantics while partnering with engineering, data science, security, and product teams. Establish standards for data quality, governance, documentation, discoverability, reliability, and developer experience. Prioritize investments, define success metrics, enable high-impact use cases, and turn complex distributed data into trusted, scalable platform capabilities.

Lead the long-term vision and strategy for MongoDB Search infrastructure. Partner with engineering, SRE, and solutions architecture teams to translate distributed-systems tradeoffs into customer value, improve observability and operational reliability, define SLOs, and guide major search capabilities from concept through general availability. Drive customer discovery and strategic investments supporting scalable vector, hybrid, and AI-native applications.

Define product strategy and roadmap for AI-powered B2B supply chain and logistics software. Conduct customer research, analyze data, evaluate AI opportunities, write product specifications, prototype solutions, and partner with engineering, design, go-to-market, customers, and leadership to ship incremental product improvements. The role requires strong product judgment in an early-stage environment and experience designing complex workflows for non-developer business users.

Own the enterprise product strategy for a B2B SaaS platform serving large government affairs teams. Design relevance algorithms, organizational permissions and collaboration workflows, enterprise integrations, and features that demonstrate departmental ROI. Conduct customer research, map complex workflows, define KPIs, analyze engagement data, and prioritize extensible API-based solutions. Prototype with code, evaluate AI models, and use AI agents and LLMs with MCPs.

Own Earth’s product direction, roadmap, prioritization, product processes, and release rhythm. Partner with Engineering, Operations, Sales, Marketing, and Leadership to build consumer products for families and internal teams. Lead customer discovery, define success metrics, and drive launches and iteration. Build the Design function, hire the first Product Designer, mentor an existing Product Manager, and remain hands-on throughout the product lifecycle.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.