Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization. The Senior Marketing Manager - AI is responsible for defining and operationalizing the company’s AI-driven marketing strategy, focusing on how AI is applied across various marketing functions to drive measurable business impact.
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
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
- 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
- Exceptional organizational skills, with the ability to manage multiple workstreams and competing priorities with ease
- 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