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Cribl

Data observability platform for logs

Staff GTM AI Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience in product management, Revenue Operations, Sales Operations, GTM Strategy, Business Systems, or a related function at a B2B SaaS company.
  • Experience owning product vision, roadmap prioritization, requirements, launches, adoption, and success metrics for a business-critical product or platform.
  • Demonstrated ability to improve sales productivity through product management, artificial intelligence, workflow automation, or systems integration, ideally within a B2B SaaS sales organization.
  • Understanding of Customer/User Journey and Jobs-to-be-Done frameworks, with the ability to apply them to seller workflows and productivity challenges.
  • Experience designing and shipping AI-driven workflows, automations, or system integrations, rather than only using AI-enabled tools.
  • A builder’s mindset, with comfort starting with an imperfect prototype, learning from users, and turning it into a reliable product.
  • Strong technical fluency across customer relationship management, data models, integrations, application programming interfaces, workflow orchestration, automation platforms, and AI capabilities, with judgment to make sound architecture and delivery tradeoffs.
  • Ability to work effectively with engineering and business systems teams by creating clear technical requirements, evaluating implementation options, and maintaining alignment from discovery through launch.
  • Comfort working directly with sellers and sales leaders to conduct discovery, gather feedback, drive adoption, and resolve friction.
  • Strong systems-thinking skills and ability to understand how data, people, processes, and technology work together.
  • Ability to turn ambiguous business problems into clear product requirements, make thoughtful tradeoffs, and prioritize for speed, quality, and scale.
  • Strong written and verbal communication skills, with ability to develop and communicate a compelling point of view to technical and non-technical stakeholders.

Responsibilities

  • Define, build, and scale AI-powered experiences that improve sales productivity and accelerate revenue execution.
  • Identify and eliminate friction across prospecting, account research, meeting preparation, customer engagement, deal execution, follow-ups, and forecasting.
  • Identify opportunities to reduce administrative work, automate repetitive tasks, simplify workflows, and increase sellers’ customer-facing and revenue-generating time.
  • Partner with sellers and sales leaders to understand workflows, establish productivity baselines, and prioritize high-impact opportunities.
  • Build AI-powered experiences that translate signals into timely recommendations, prioritized actions, and automated execution.
  • Measure improvements in seller time saved, administrative effort, customer-facing time, workflow efficiency, deal progression, and seller effectiveness.
  • Define and communicate the product vision, strategy, and roadmap for GTM AI in partnership with GTM leaders, sellers, and technical stakeholders.
  • Own a clear program area with end-to-end accountability for discovery, prioritization, delivery, adoption, and outcomes.
  • Apply Customer/User Journey and Jobs-to-be-Done thinking to identify seller friction, prioritize opportunities, and design intuitive workflows.
  • Lead discovery with sellers and GTM stakeholders, validate problems, and translate insights into product requirements.
  • Move ideas from concept to prototype to production, using rapid experimentation and user feedback to iterate toward product-market fit within GTM.
  • Prioritize the roadmap based on user value, sales productivity impact, business outcomes, adoption potential, data quality, risk, and delivery complexity.
  • Own product and technical strategy, including target architecture, integration patterns, data flows, application programming interfaces, and non-functional requirements such as reliability, security, privacy, and observability.
  • Build and launch AI-powered workflows connecting signals across Rox, Salesforce, Gong, and the GTM Data Fabric to deliver actionable intelligence and enable sellers to execute effectively.
  • Partner with engineering, business systems, data, and security teams on architecture, integrations, data quality, and delivery while maintaining focus on the end-user experience.
  • Evaluate AI capabilities, agents, workflow orchestration, and automation approaches to determine where they can deliver productivity gains.
  • Establish reusable product patterns and operating practices for evaluating, building, and scaling AI use cases.
  • Establish governance standards for GTM AI, including use-case checklists, approval processes, documentation, and a trusted source of truth for active and planned use cases.
  • Define success metrics and measure adoption, seller productivity, workflow effectiveness, and business impact.
  • Continuously improve products based on usage data, seller feedback, and measurable outcomes.
  • Ensure AI experiences are trusted, secure, reliable, and integrated into sellers’ existing workflows.
  • Build repeatable approaches to experimentation, launch, adoption, and value measurement that accelerate future GTM AI initiatives.

About the Company

Cribl

Data observability platform for logs

Cribl helps tech teams manage and understand their data through data observability. Its two main products, Cribl Stream and Cribl Edge, collect, route, transform, and analyze logs, metrics, and other observability data. Edge gathers real-time data from network edge devices, sending it to Stream or other destinations for processing. Stream routes and transforms data on-premises or in the cloud and forwards it to destinations, with integrations like Office 365 and Microsoft Azure to monitor activity and security. The goal is to give teams real-time visibility into data, improve operational efficiency, and strengthen security by managing data flows and observability insights.

Company size
1,001-5,000
Company stage
Private
Total funding
$596.4M
Headquarters
San Francisco, CA
Founded
2018

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