Why You’ll Love This Role

Cribl's growth depends on how reliably we can turn intent into revenue while keeping our systems, data, and teams in sync. The Sr. Product Manager, Opportunity-to-Order (O2O) Systems will partner closely with business stakeholders to shape the roadmap for the systems, workflows, and data that govern how we structure deals, generate quotes, approve commercial terms, set up accurate renewals, and track ARR.

This role sits at the center of Cribl's revenue lifecycle, connecting sales execution, commercial design, and operational scale by owning the systems and data that make quoting, approvals, contracting, and renewals work. It is a high-impact role for someone who likes untangling complex systems, translating abstract revenue and risk questions into clear product direction, and using AI and automation thoughtfully to improve predictability, speed, and confidence across the business.

You will report to the Manager, Product, Enterprise Applications.

As An Active Member Of Our Team, You Will…

As Sr. PM, O2O Systems, you will shape a portfolio that makes Cribl's revenue lifecycle more predictable, scalable, and insight-driven.

• Revenue Systems & AI Strategy: Establish a clear product vision for how Salesforce, DealHub, Ironclad, Clari, and adjacent tools, including AI, work together to support deal design, quoting, approvals, contract workflows, and renewals.
• CPQ Evolution: Guide how DealHub and related CPQ patterns evolve so that complex deal structures, ramps, and subscription changes remain simple for users to configure, price, and approve as Cribl's product mix and commercial models expand, while keeping the experience ready for AI-assisted selling and approvals.
• Revenue Insights & Automation: Strengthen the underlying data models, validation patterns, and integrations across systems so that ARR reporting, forecasting, and AI use cases rest on reliable, well-defined revenue data rather than fragile one-off logic.
• Contracting & CLM Workflows: Influence how Ironclad and Salesforce work together so that contracts, questionnaires, and security artifacts are easy to generate, review, and connect back to the quotes and opportunities they support, structured in ways that unlock AI-assisted review and insight.
• Portfolio Clarity & Stakeholder Partnership: Bring durable structure to a complex program landscape so that stakeholders have a clearer view of how pieces fit together, what is changing, and how those changes affect planning and execution at a strategic level, not just at a ticket level.
• AI Innovation: Create space for well-designed AI experiments with clear hypotheses, guardrails, and success measures, so the business can tell which AI investments are actually improving revenue outcomes and where to scale or pivot.
• Change Management & Long-Term Resilience: Ensure that changes to RLM and CPQ systems, including large initiatives and incremental AI and automation work, are introduced with the right discovery, design, testing, UAT, deployment, and hypercare patterns so improvements are stable in production and sustainable as Cribl's business evolves.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours.

If You’ve Got It - We Want It

• Product management experience: 5+ years of progressive product management in B2B SaaS, with direct ownership of revenue, CPQ, or opportunity-to-order systems and the stakeholder complexity that comes with them.
• O2O Systems background: Hands-on experience with modern CPQ (DealHub, Salesforce CPQ, or similar) in a Salesforce Sales Cloud environment, with a strong understanding of how quoting, approvals, subscription management, and renewals connect across the revenue lifecycle.
• AI-forward mindset: Demonstrated history of defining and shipping AI use cases in internal business workflows, not only prototypes, including the judgment to know where AI is helpful and where it is not.
• Opportunity-to-Order domain knowledge: Strong understanding of opportunity stages, quoting and approvals, discounting patterns, renewals, and ARR or revenue modeling in a modern SaaS business.
• Systems thinking & data quality: Comfort reasoning about how data flows through integrated systems, including how field definitions, ARR logic, and integration design affect both day-to-day operations and the reliability of inputs to AI and analytics.
• Stakeholder partnerships: Proven ability to build strong relationships across a wide set of stakeholders with differing priorities and vocabulary to align product initiatives with broader company goals.
• Measurement & experimentation: Experience using data and metrics to assess product impact, define success, and make the case for continued investment or course correction.
• Technical collaboration: Able to work effectively with engineering systems teams, translating business requirements into product direction, surfacing implementation tradeoffs, and writing clear acceptance criteria.
• Communication: Exceptional written and verbal communication skills, with the ability to make complex systems, AI concepts, and tradeoffs understandable to a wide range of audiences.
• Preferred Qualifications
  • Experience with DealHub or another modern CPQ solution in a Salesforce-centric environment.
  • Experience with Salesforce-centric integrations supporting opportunity, quote, and renewal flows and their reporting needs.
  • Familiarity with Ironclad and CLM patterns that connect contracts back to Salesforce opportunities and quotes.
  • Exposure to IT general controls (ITGC) requirements and how O2O patterns intersect with those needs.
  • Experience building or scaling agentic workflows or AI-assisted automations for revenue, sales, or legal teams.
  • Comfort working in a high-growth, remote-first environment.
  • Curiosity about practical AI in internal business systems.
  • A sense of humor, and a love for goats.

Salary Range ($105,000- $164,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

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Why You’ll Love This Role

We are seeking a talented and experienced Staff AI Platform Engineer to help build Cribl’s new Corporate AI Systems team. In this pivotal role, you will design, deploy, and operate the governed AI platform that enables secure, scalable AI across Cribl’s internal systems and workflows. This is a foundational role on a newly established team created to provide the shared infrastructure, security guardrails, and reusable patterns needed to turn AI from fragmented experimentation into a durable company capability.

You will be instrumental in standing up the shared AI infrastructure layer that powers high-impact use cases across GTM, Prod-Eng and G&A functions. The team’s mandate is to provide the “paved road” for AI at Cribl: secure access, governed integrations, reusable workflows, and a platform that enables teams to move faster without creating security, compliance, or operational risk.

This role will report to the Sr. Director, Enterprise Applications and will partner closely with stakeholders across Enterprise Applications Engineering, Security, IT, and the business teams adopting AI to build the core platform that every subsequent AI initiative runs on.

As An Active Member Of Our Team, You Will…

As the Staff AI Platform Engineer, you will be the foundational builder of Cribl’s shared corporate AI platform. Your key responsibilities will include:

• AI Platform Architecture & Operations: Define and own the architecture for Cribl’s internal AI platform, LLM deployments, MCP gateway design, orchestration patterns, and the shared services required to run AI use cases safely at scale.
• Secure Access, Identity & Token Governance: Establish the identity and access model for AI systems, including distinct non-human identities, scoped credentials, audit logging, cost controls, and token governance infrastructure that supports least-privilege access.
• Sandboxed Enablement & the Paved Road: Build safe, reusable sandbox environments and self-service patterns that allow business and technical teams to experiment with AI inside a governed framework rather than through ad hoc or unapproved tooling.
• Enterprise Integration Architecture: Design the connective tissue between AI tooling and Cribl’s enterprise systems, helping define secure patterns for integrating with platforms such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, Glean, and other business-critical tools.
• AI Security Partnership: Work hand in hand with the AI Security team to ensure secrets management, MCP governance, prompt-injection defenses, AI telemetry, and compliance-ready controls are built into the platform from day one rather than bolted on later.
• Engineering Enablement: Stand up the platform capabilities needed for AI-accelerated development, including AI coding infrastructure and guardrails, DevOps pipeline integration, and secure workflows that help builders move faster without compromising quality or security.
• Platform Reliability, Adoption & Operating Effectiveness: Define and track the metrics that matter most for a shared AI platform, including platform availability, reliability, usage, adoption, guardrail effectiveness, cost efficiency, and time to enable new use cases. Partner with adjacent stakeholders to support measurement of the  business impact as the platform scales across the company.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours 

If You’ve Got It - We Want It

• Staff-level platform engineering experience: 7+ years of experience in software engineering, platform engineering, infrastructure engineering, internal developer platforms, or closely related technical roles, with a track record of building shared capabilities used by many teams.
• AI platform fluency: Strong hands-on experience with modern LLM and agentic systems, including enterprise AI platforms, API-driven model integration, retrieval patterns, and the practical realities of getting AI safely into production.
• Identity, security, and governance depth: Proven experience with OAuth, service identities, RBAC / ABAC / scoped permissions, auditability, secrets management, and secure-by-default architecture patterns.
• Integration architecture expertise: Experience designing and operating integrations across enterprise systems, APIs, workflow platforms, and event-driven architectures in complex SaaS environments.
• Practical systems mindset: Ability to balance speed, reliability, usability, and governance. You know how to build a platform that enables teams rather than slows them down.
• Cross-functional communication: Strong written and verbal communication skills, with the ability to simplify complex technical tradeoffs for business leaders, security partners, and technical peers alike.
• Builder mentality: You are comfortable creating the first version of the operating model, the runbooks, the patterns, and the platform itself. Ambiguity energizes you.
• Outcome orientation: You care about measurable business impact, not just elegant architecture. You understand that the platform only matters if it helps Cribl ship useful, governed AI capability
• Preferred qualifications:
  • Experience with AWS Bedrock, Claude Code, or similar enterprise AI platforms.
  • Experience with MCP, skills, gateway technologies, API mediation, tool-use architectures for AI agents.
  • Familiarity with orchestration and workflow platforms such as n8n, Workato, and adjacent automation frameworks.
  • Experience deploying guardrails for AI-assisted engineering, including approval flows, policy enforcement, observability, and secure coding controls.
  • Familiarity with enterprise systems such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, and Glean.
  • Experience operating in a high-growth, remote-first B2B SaaS environment.
  • Comfort partnering closely with Security, IT, GTM Ops, Finance, People, and Support stakeholders.
  • Good jokes, or maybe better, bad jokes.
  • A love for goats.

Salary Range ($169,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

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Why You’ll Love This Role

​We are seeking a talented and experienced Staff AI Security Engineer to help build Cribl’s new AI Systems team. In this pivotal role, you will design, implement, and operationalize security and governance frameworks that enable rapid AI adoption to scale safely across Cribl’s internal systems and workflows. This is a foundational role on a newly established team tasked with providing the shared infrastructure, security guardrails, and reusable patterns needed to turn AI from fragmented experimentation into durable company capabilities.

You will be instrumental in bringing security, governance, and safety to Cribl’s rapidly expanding AI footprint, including API tokens, secrets management, MCP security, shadow AI mitigation, AI telemetry, and compliance readiness. The team’s mandate is to provide the “paved road” for AI at Cribl: secure access, governed integrations, reusable workflows, and a platform that enables teams to move faster without creating security, compliance, or operational risk.

This role will be part of the Corporate AI Systems team and will report directly to the Chief Information Security Officer (CISO). It will partner closely with stakeholders across Security, Enterprise Applications, Product, Engineering, IT, Legal, and the various business teams adopting AI to ensure Cribl’s AI capabilities scale securely and pragmatically.

As An Active Member Of Our Team, You Will...

As the Staff AI Security Engineer, you will be the foundational builder of Cribl’s AI security and governance layer. Your key responsibilities will include:

• AI Security Architecture & Governance: Define, threat model, and operationalize the security architecture for Cribl’s internal AI platform, including standards, controls, approval patterns, and secure-by-design guidance for AI use cases before they scale into production.
• Shadow AI Discovery & Remediation: Partner with Business Operations to maintain visibility into AI tools, licenses, API tokens, MCP servers, and ad hoc workflows in use across the company, and monitor for ungoverned or high-risk patterns that require remediation.
• MCP Security & Registry Management: Own the framework for vetting MCP servers, maintaining an approved registry, defining risk tiers, and enforcing secure connection patterns as MCP adoption expands across teams.
• Secrets, Identity & Token Protection: Establish secure patterns for secrets management, non-human identities, scoped credentials, OAuth-based access, and token governance to enforce least-privilege access and reduce credential exposure in AI builds.
• Prompt Injection Defense & Safe Execution Controls: Design and deploy guardrails for prompt injection defense, deterministic validation, human-in-the-loop approvals, and additional controls for high-risk workflows that combine sensitive data, untrusted content, and external action.
• AI Telemetry, Detection & Incident Response: Partner on building Cribl as the observability backbone for AI systems, including telemetry pipelines, abuse detection, audit trails, threat hunting, and incident response patterns for AI-specific security events.
• Compliance & Customer Governance Readiness: Partner with Cribl’s Compliance team to drive documentation and control readiness for AI-related obligations and customer scrutiny, including NIST AI RMF, ISO 42001, EU AI Act readiness, AI acceptable use standards, and customer-facing AI governance materials.
• Secure AI-Assisted Corporate Engineering Enablement: Establish the security controls required for AI-assisted internal development, secure coding practices, secrets management, SCA/SAST/DAST expectations, and review patterns for AI-generated code and workflows.
• Risk Metrics & Security Effectiveness: Define and track the metrics that matter most for AI security, including shadow AI exposure, control coverage, incident trends, security review turnaround, and reduction of high-risk patterns as the platform scales across the company.
• We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours.

If You’ve Got It - We Want It

• Staff-level security engineering experience: 7+ years of experience in security engineering, application security, cloud security, identity and access management, detection engineering, or related technical security roles, with a track record of building practical controls that scale.
• AI security fluency: Strong hands-on experience with modern LLM and agentic systems, including threat models for prompt injection, tool use, model access, RAG, AI coding tools, and API-driven integrations.
• Identity, secrets, and governance depth: Proven experience with OAuth, service identities, secrets management, RBAC / ABAC / scoped permissions, auditability, and secure-by-default architecture patterns.
• Security architecture judgment: Experience designing risk-tiered controls, approval models, and protective guardrails that balance innovation with real-world compliance and operational needs.
• Detection and incident response mindset: Ability to operationalize telemetry, define actionable detections, investigate security signals, and build pragmatic response paths for new threat surfaces.
• Compliance and customer trust orientation: Familiarity with frameworks and customer expectations relevant to enterprise AI governance, including NIST AI RMF, ISO 42001, SOC 2, GDPR, SOX, or adjacent control environments.
• Cross-functional communication: Strong written and verbal communication skills, with the ability to simplify risk, controls, and tradeoffs for engineers, business stakeholders, and senior leaders alike.
• Builder mentality: You are comfortable creating the first version of the registry, the standards, the playbooks, and the guardrails. Ambiguity energizes you.
• Outcome orientation: You care about materially reducing risk while enabling useful AI adoption. You understand that security only works if it is practical enough to be used.
• Preferred Qualifications
  • Experience with AI development tools like Claude Code, AWS Bedrock, or similar enterprise AI platforms.
  • Experience with MCP, skills, API security, gateway technologies, or tool-use architectures for AI agents.
  • Familiarity with multi-agent workflow design, workflow security patterns, and human-in-the-loop orchestration controls.
  • Experience with SCA / SAST / DAST, secrets management, SIEM / telemetry pipelines, and secure software delivery controls.
  • Familiarity with enterprise systems such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, and Glean, especially where AI workflows introduce differentiated risk.
  • Experience operating in a high-growth, remote-first B2B SaaS environment.
  • Comfort partnering closely with Security, IT, GTM Ops, Finance, People, Legal, and Support stakeholders.
  • Good jokes, or maybe better, bad jokes.
  • A love for goats.

Salary Range ($128,000 - $200,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

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#LI-Remote

Why You’ll Love This Role

We are seeking a talented and experienced Sr. Product Manager to focus on Cribl’s Pipeline Generation Systems portfolio.

This is a high-impact AI innovation role focused on finding and scaling practical ways AI can increase pipeline across Marketing and Sales. You will partner closely with business stakeholders to shape the roadmap for the systems, workflows, and data foundations behind lead capture, prioritization, routing, attribution, personalization, and orchestration.

Sitting at the intersection of go-to-market strategy, enterprise systems, and AI innovation, you will help turn promising ideas into measurable business outcomes. This role reports to the Sr. Director, Enterprise Applications.

As An Active Member Of Our Team, You Will…

As Sr. Product Manager - Pipeline Generation Systems, you will be the product owner for a portfolio of capabilities that directly influence top-of-funnel effectiveness, data quality, and GTM execution. Your key responsibilities will include:

• AI Innovation Strategy for Pipeline Generation: Define and execute a compelling product vision and roadmap centered on how AI can materially increase pipeline, improve seller focus, and make GTM execution more intelligent across lead capture, prioritization, routing, attribution, and account-based motions.
• AI Use Case Discovery & Facilitation: Partner with Marketing, SDR, Sales, and RevOps stakeholders to identify high-value AI opportunities, facilitate tradeoff discussions, and translate business pain points into practical experiments, product requirements, and scalable delivery plans.
• Account Prioritization, Personalization & Orchestration: Drive roadmap investments that help Cribl identify, rank, and activate against the highest-value accounts through AI-assisted account scoring, richer account context, seller-facing insights, and scalable personalization workflows.
• Lead-to-Account, Routing & Data Quality Foundations: Own the product strategy for the data and workflow patterns that ensure leads and accounts are matched, normalized, enriched, and routed correctly, recognizing that strong AI outcomes depend on trustworthy underlying data and process design.
• Marketing Attribution & Campaign Intelligence: Partner with Marketing and RevOps leaders to improve how Cribl measures the impact of campaigns and demand programs, while also advancing more intelligent ways to connect engagement signals, campaign-member data, and opportunity creation.
• Vendor & Platform Evaluation: Evaluate and operationalize external tools and internal capabilities that expand Cribl’s AI-enabled pipeline generation portfolio, including enrichment, hierarchy management, prioritization, orchestration, and personalization platforms, while ensuring sound governance and architectural fit.
• Cross-Functional Stakeholder Partnership: Build strong relationships across Marketing, Sales Development, Revenue, Marketing and Revenue Operations teams, and technical teams, serving as a facilitator and product leader who can align stakeholders, clarify decisions, and move ambiguous initiatives toward measurable business outcomes.
• Operational Excellence, Experimentation & Measurement: Define the right KPIs, success criteria, and experiment frameworks for pipeline generation systems so Cribl can assess which enhancements are actually increasing pipeline quality, efficiency, and conversion.
• Responsible AI Adoption in GTM Systems: Help Cribl adopt AI in practical, governed ways by balancing innovation with data quality, usability, operational readiness, and change management.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours.

If You’ve Got It - We Want It

• 5+ years of product management experience: Proven track record in product management within a B2B SaaS environment, ideally with meaningful ownership of internal systems, GTM systems, or revenue technology portfolios.
• AI-forward product mindset: Demonstrated ability to spot where AI can create real business value, shape practical use cases, and distinguish between meaningful innovation and hype.
• Pipeline Generation / GTM Systems domain knowledge: Strong understanding of demand generation, SDR workflows, lead management, attribution, enrichment, and account-based motions in a modern SaaS company.
• Salesforce ecosystem fluency: Deep functional understanding of Salesforce and how it supports lead, contact, account, opportunity, campaign, and routing workflows across the GTM lifecycle.
• Systems thinking and data quality orientation: You understand that pipeline generation systems only work when identity, matching, hierarchy, normalization, sync behavior, and routing are designed intentionally and governed well, and that these foundations are critical for effective AI.
• Stakeholder facilitation and influence: Demonstrated ability to align and influence stakeholders across business and technical teams, facilitate productive decision-making, and move cross-functional initiatives forward when priorities differ.
• Analytical and experimental mindset: Comfortable using metrics, experimentation, and operational data to frame problems, prioritize investments, assess impact, and determine whether AI-driven changes are actually improving pipeline outcomes.
• Technical collaboration: Able to work effectively with engineering and systems teams, translating business requirements into product direction, implementation tradeoffs, and clear acceptance criteria.
• Builder mentality: Comfortable stepping into ambiguity, shaping the first version of the strategy, and improving it through iteration, feedback, and measurable outcomes.
• Communication & influence: Exceptional written and verbal communication skills, with the ability to make complex systems, AI concepts, and tradeoffs understandable to a wide range of audiences.
• Preferred Qualifications
  • Experience with Salesforce Sales Cloud, Marketo and adjacent GTM tooling used for enrichment, routing, attribution, or orchestration.
  • Familiarity with tools and workflows supporting ABX, account prioritization, and personalized digital experiences.
  • Experience building, piloting, or scaling agentic workflows or AI-assisted business process automation in a GTM, operations, or enterprise systems context.
  • Comfort operating in a high-growth, remote-first B2B SaaS environment.
  • Curiosity about practical AI and automation opportunities in internal business systems.
  • Good jokes, or maybe better, bad jokes.
  • A love for goats.

Salary Range ($105,000 - $160,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#LI-KJ1
#LI-Remote