CloudBees

Performance Marketing

• Own the North America commercial and mid-market demand generation strategy, aligned to pipeline and revenue goals.
• Partner closely with sales leadership, account executives, BDRs, and RevOps to identify priorities, target segments, and growth opportunities.
• Plan and execute integrated campaigns across channels including paid media, email, webinars, content syndication, nurture, and retargeting.
• Build and run account-based and pipeline acceleration programs for priority accounts and segments.
• Create and manage regional campaign calendars and execution plans that align with quarterly business objectives.
• Collaborate with product marketing on messaging, positioning, launches, and persona-based campaign development.
• Work with content, brand, and web teams to develop landing pages, campaign assets, nurture journeys, and conversion paths.
• Partner with marketing operations to ensure clean campaign setup, attribution, reporting, lead routing, and funnel visibility.
• Analyze campaign performance and pipeline impact, then optimize based on data, conversion trends, and sales feedback.
• Bring a test-and-learn mindset to channel mix, messaging, offers, and segmentation.
• Help improve how demand generation operates by identifying smarter workflows, automation opportunities, and scalable execution models.

Senior Demand Generation Manager, North America – Commercial & Mid-Market

Product Manager

• Own the market narrative for CloudBees’ AI-native DevOps platform
• Define how the world understands what we build
• Shape analyst perception and arm the sales team
• Build the content and positioning engine for category leadership
• Serve as primary point of contact for analyst briefings
• Develop and maintain competitive intelligence
• Build the sales narrative toolkit

Director of Product Management

Full-stack Engineer

• Build the scalable, intelligent, and developer-first platform that powers CloudBees' mid-market growth engine.
• Contribute across the full stack - from core pipeline intelligence and data architecture to API design and agentic orchestration - shipping working software fast and continuously improving what you build.
• Design, develop, and ship high-quality, production-grade features across the CloudBees platform to address customer concerns with rapid turnaround.
• Build AI-augmented workflows, integrations, and intelligent services that reduce friction for development teams.
• Collaborate closely with Product and Intelligence Solutions Architecting to translate customer pain into scalable technical solutions.
• Participate in architecture and design reviews with a focus on velocity, reliability, and maintainability.
• Actively use AI coding assistants and LLM-powered development tools to accelerate delivery.
• Write automated tests, maintain CI/CD pipeline hygiene, and hold a high bar for code quality.
• Contribute to a culture of technical excellence - through code reviews, documentation, and knowledge sharing.

Senior Software Engineer – AI Native Platform

• Own end-to-end demand generation strategy and outcomes, with direct accountability for top-of-funnel growth and downstream conversion to revenue
• Set, track, and report on pipeline KPIs: MQLs, pipeline sourced, pipeline influenced, stage conversion, and cost-per-opportunity, and communicate ROI clearly to leadership
• Architect and execute multi-channel campaigns across paid digital (LinkedIn, Google, programmatic), field and virtual events, content syndication, and partner programs
• Run ongoing testing, analysis, and optimization: kill what doesn't work, double down on incremental impact, build repeatable playbooks
• Build and operate AI-powered demand workflows: programmatic outbound, intent-based targeting, AI-personalized sequences, and automated nurture flows
• Develop segmentation and targeting strategies for priority enterprise buyer personas, platform engineers, VP Engineering, CIOs, and DevSecOps leaders, in close partnership with Product Marketing and Sales
• Partner with BDR leadership to ensure campaign-to-outbound alignment, providing the messaging frameworks, sequences, and creative air cover needed to run effective outbound plays
• Own the marketing-to-sales funnel handoff in collaboration with Revenue Operations

Director, Global Demand Generation

Security Engineer

• Develop secure SDLC standards for internal apps and AI workflows
• Build patterns, reference architectures, and the documentation teams need to self-serve
• Conduct threat modeling, risk assessments, and technical security reviews for enterprise systems, internal apps, and AI and agentic deployments
• Identify and prioritize security risks; advise risk, compliance, audit, and business teams on mitigations
• Translate findings into actionable enterprise controls and detection requirements
• Design safeguards for enterprise AI tooling, including agents and non-human identities
• Engineer and automate AI-first security workflows that scale the wider Security team

Enterprise Security Engineer – AI, Enterprise Security

Revenue Operations

• Drive Global GTM Strategy & Own The Rhythm of the Business
• Partner specifically with Americas GTM leadership (Sales, Marketing, Customer Success) to define and execute key strategic initiatives e.g., territory design, account segmentation, quota & capacity planning, expansion strategy
• Support and optimize core operating cadences including forecasting, pipeline reviews, QBRs, and annual planning
• Establish and enforce global processes, policies, and best practices across the revenue organization
• Lead key planning processes including annual planning, quota setting, territory carving, and capacity modeling
• Identify operational friction and proactively recommend improvements
• Enable GTM Teams to Hit Targets By Delivering Actionable Insights Across the Funnel
• Analyze end to end funnel performance (marketing → sales → customer success) to identify gaps and opportunities
• Provide visibility into pipeline health, conversion rates, sales efficiency, and retention metrics
• Partner with Sales, Marketing, and CS leaders to provide data, insights, and tools to improve performance
• Act as a trusted advisor in deal strategy, pipeline development, and revenue forecasting
• Optimize the GTM Tech Stack & Scale Reporting Infrastructure
• Develop executive-level reporting and dashboards to communicate the state of the business globally
• Standardize KPI definitions and reporting frameworks across regions
• Partner with GTM Systems to evolve and scale tools (e.g., Salesforce, Gong, Clay, Pocus, Marketo)
• Ensure data integrity and a seamless experience across the revenue tech stack
• Identify operational friction and proactively recommend improvements

Senior Demand Generation Manager, North America – Commercial & Mid-Market

Director of Product Management

Senior Software Engineer – AI Native Platform

Director, Global Demand Generation

Enterprise Security Engineer – AI, Enterprise Security

Revenue Operations Manager