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Cornerstone is an AI-powered workforce readiness platform serving approximately 7,000 organizations and 140M+ users across 186 countries. As Enablement Marketing Manager within the Cornerstone University team, you will lead marketing and communications for Cornerstone's customer education business.
You will serve as a connector across Marketing, Product Marketing, Product, Enablement, Customer Success, and Community teams, driving alignment through shared planning, clear communications, and coordinated campaigns. This is an influence-led role where success depends on building cross-functional alignment without formal authority.
Key Responsibilities:
• Own an integrated marketing calendar that connects Cornerstone University programs to product releases, strategic launches, lifecycle campaigns, events, and community activity. Establish planning cadence across stakeholders, creating shared visibility and accountability.
• Identify conflicts, gaps, and dependencies early; influence prioritization, sequencing, and positioning decisions. Map education and community touchpoints across onboarding, adoption, expansion, renewal, and advocacy.
• Support customer and learner personas reflecting audience needs. Partner with Marketing Operations and Data teams to segment learners by role, product, maturity, and account-health signals.
• Plan and coordinate personalized, telemetry-triggered campaigns and nurture journeys using marketing automation or journey-orchestration platforms. Leverage AI for content creation and personalization within brand guardrails.
• Develop positioning and messaging for Cornerstone University and Community programs to increase activation. Plan and support launches for courses, certifications, learning paths, and community programs.
• Build the foundation for Cornerstone University product marketing, including learner personas, messaging frameworks, and program measurement.
Success Metrics (90 days and beyond):
• Develop targets and reporting definitions with stakeholder agreement using available baselines.
• Launch integrated planning motion within three months with a shared marketing calendar connecting education initiatives to product releases and launches.
• Secure stakeholder alignment on integrated calendar with consistent cadence and clear ownership.
• Drive campaign-driven activation and enrollment improvements in learning, certification, and community programs.
• Track learner progress into higher Customer Engagement Expertise bands against agreed baseline.
• Evaluate campaigns using holdout groups and A/B tests to distinguish campaign impact from organic activity.
• Improve segmentation, AI-supported personalization, and testing to enhance customer experience.
The role is based in India with teammates across global geographic hubs. Weekday hours require flexibility to provide overlap with EMEA and Americas-based team members.
Required Experience:
• 5–7 years of marketing, marketing operations, lifecycle marketing, or program management experience.
• Hands-on experience with marketing automation or journey-orchestration platforms (e.g., Marketo, Gainsight Journey Orchestrator).
• Demonstrated ability leading cross-functional programs with competing priorities and influencing stakeholders without direct authority.
• Experience building planning systems (roadmaps, calendars, playbooks, frameworks) that support scalable operating rhythm.
• Experience coordinating product launches or release readiness.
• Practical experience using AI tools for content creation and personalization, with judgment to discern and refine output and outcomes.
• Comfort with segmentation, campaign data, dashboards, and measurement approaches (holdout groups, A/B testing).
• Strong writing skills with ability to tailor messaging, tone, and detail to different audiences.
• Ability to work regular overlap hours with US-based teams.
Preferred Experience:
• B2B SaaS marketing background.
• Customer education, academies, certifications, or training program experience.
• Customer Success, Enablement, or community marketing background.
• AI continuous learning: uses AI tools in own work, evaluates AI output critically for accuracy and bias, actively explores tools, and keeps skills current through communities and hands-on experimentation.
