# Senior Director, Marketing

**Company:** [Pryon](https://hotfix.jobs/companies/pryon)
**Location:** San Francisco, CA
**Role:** Executive Leadership
**Salary:** $250k – $265k/yr
**Experience:** 12+ years
**Skills:** Demand Generation, B2B Marketing, Product Marketing, Pr, Content Marketing, Go-to-Market Strategy, Analytics, AI, Machine Learning, SaaS
**Posted:** 2025-11-24

> Leads all marketing initiatives including brand strategy, demand generation, and team scaling for an AI enterprise SaaS company. Requires 12-15 years experience with 5-7 in marketing leadership, strong AI/ML knowledge, and bachelor's degree.

## Job Description

## Responsibilities
- Lead all aspects of the company’s marketing initiatives, including brand strategy and positioning, B2B marketing, and digital strategy; operate as a senior leader as well as an individual contributor.
- Develop and implement a cohesive marketing plan to increase brand awareness.
- Manage MQL end-to-end analytics and attribution for all lead generation while executing key KPIs for net new and expansion revenue.
- Own and deliver the top-of-the-funnel demand generation for all sales channels and efforts.
- Collaborate with Solutions Engineering, Product, and Sales teams to understand existing and potential customers’ needs and deliver marketing collateral that resonates with our different market segments and buyer personas.
- Develop the strategic vision for Pryon’s brand and ensure flawless execution of our mission.
- Evaluate the overall marketing function and design a scalable organization structure to keep pace with expected growth; grow and manage a Marketing team that will execute the strategies that support company revenue goals.
- Build relationships with media and stakeholders through creative PR strategies.
- Provide direction and set standards for creation of tactical content to support strategic objectives.
- Generate internal enthusiasm and training to enable the field team to take messaging to the market.
- Monitor all marketing campaigns and improve them when necessary.
- Create metrics to demonstrate value of marketing efforts and provide a blueprint for course correction as needed.
- Prioritize marketing projects and allocate resources accordingly.
- Conduct market analysis to identify challenges and opportunities for growth.
- Provide guidance and ideas to organize effective marketing events.
- Forecast hiring needs for the Marketing department.
- Participate in the quarterly and annual planning of the company’s objectives.
- Drive data-driven decisions and establish effective frameworks, metrics, and strategies to inform the company’s approach to direct and channel marketing.

## Requirements
- Experience managing multiple Marketing disciplines and strategy at an enterprise AI and/or software company, with a minimum of **12-15 years** of total experience and **5-7 years** as a Marketing leader.
- Proven ability to build a world class B2B enterprise SaaS brand while in a Marketing leadership role; growth hacker mentality.
- Track record in a high growth, product-first, hands-on culture; prior experience in a venture-backed company, scaling from a start up to an organization of significant size and revenue.
- Driven, success-oriented, flexible team player who can juggle multiple and/or changing priorities in a fast-paced, entrepreneurial environment.
- Prior success working closely with Sales to drive lead gen demand.
- Experience interfacing with media and industry analysts to influence their perception of the company’s products.
- Strong, persuasive communication skills with an ability to synthesize complex market and technology messages into sales drivers.
- Excellent leadership skills with the ability to mentor and inspire high performance.
- Business-critical thinker on pricing, analytics, GTM, and branding.
- **Bachelor’s degree** required; MBA preferred.
- Strong technical knowledge and engineering experience of knowledge or document management markets along with **AI** and **ML** principles and practices.
- Proven abilities to work jointly with AI engineers, data scientists, and development teams.

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