Senior Marketing Manager - AI

Delinea•Redwood City, CA

About The Position

Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. The Senior Manager of AI Marketing Strategy is responsible for defining and operationalizing the company’s AI-driven marketing strategy to improve effectiveness, efficiency, and scale across the marketing organization. This role focuses on how AI is applied to marketing—from strategy and use-case prioritization to governance and enablement—rather than day-to-day campaign execution. This leader will act as the connective tissue between Marketing, RevOps, Data, and IT teams to ensure AI is deployed responsibly, strategically, and in ways that drive measurable business impact across demand generation, lifecycle marketing, and go-to-market motions.

Requirements

5-7 years of experience in B2B marketing, marketing operations, analytics, or marketing strategy, with direct exposure to AI or advanced data-driven initiatives.
Proven experience defining and leading AI or advanced analytics strategies within a marketing or go-to-market organization.
Strong understanding of marketing technology stacks (CRM, MAP, CDP, analytics platforms) and how AI layers onto them.
Ability to translate complex technical concepts into clear business value for non-technical stakeholders.
Experience working cross-functionally with data, engineering, IT, and operations teams.
Strategic mindset with strong prioritization, roadmap planning, and change management skills.
Excellent communication and executive presentation skills.
Exceptional organizational skills, with the ability to manage multiple workstreams and competing priorities with ease.

Nice To Haves

Experience with AI-driven personalization, predictive modeling, or machine learning applications in B2B marketing.
Familiarity with data privacy regulations and responsible AI principles.
Experience in a SaaS or high-growth technology environment.
Strong B2B marketing background within the technology sector; cybersecurity experience is a strong advantage.
Broad marketing expertise, with hands-on experience in planning, demand generation, digital, channel, and field marketing.
Confident working with marketing data, performance metrics, and systems to drive decision-making and continuous improvement.

Responsibilities

Own the marketing AI strategy and multi-year roadmap aligned to business objectives, revenue goals, and customer experience priorities.
Define how AI is applied across all major marketing functions.
Identify, prioritize, and define high-impact AI use cases across marketing, including (but not limited to): Audience targeting, segmentation, and account selection; Personalization of website, email, and field experiences; Content creation, optimization, and reuse at scale; Predictive analytics, forecasting, and propensity modeling; Lead, account, and opportunity scoring; Campaign performance optimization and budget allocation; Marketing productivity and workflow automation.
Balance near-term efficiency gains with longer-term, transformational AI investments.
Establish governance frameworks for responsible AI usage and define guardrails, best practices, and decision frameworks for AI adoption across marketing teams.
Evaluate AI-powered marketing technologies, platforms, and vendors; build business cases and ROI models for adoption.
Support AI tool owners in vendor selection, pilots, and rollouts.
With Marketing Operations, ensure AI tools integrate cleanly into the existing marketing tech stack.
Define success metrics for AI initiatives, including productivity gains, cost efficiency, pipeline impact, and revenue contribution.
Partner with Marketing Ops, Planning and Insights and Finance Analytics teams to measure performance and continuously refine AI models and use cases.
Communicate impact and learnings to marketing and executive leadership.
Lead enablement efforts to drive adoption of AI capabilities across marketing teams.
Educate stakeholders on AI capabilities, limitations, and best practices.
Act as a thought leader and internal evangelist for practical, responsible AI use in marketing.
Stay current on emerging AI trends, technologies, and regulatory considerations relevant to marketing.
Run a test-and-learn program to experiment with new AI-driven approaches and scale proven wins.