Position Overview
The Senior Director of Product Marketing is one of the most strategic positions in our company. This person serves as the critical link between market reality, customer intelligence, business strategy, product investment, and go-to-market execution.This individual will build and maintain a continuous, high-quality intelligence loop leveraging AI, drawing deep insights from customers, prospects, analysts, partners and the competitive landscape. Ultimately converting those signals into clear, prioritized guidance that helps to:
- Shape our product roadmap
- Define how we win and sharpen our market narrative, assets and tools to it
- Power the commercial success of our GTM teams and influence our business strategies
The Senior Director PMM has direct management responsibilities for product marketing, analyst relations, public relations, community, customer expansion and advocacy.
The Senior Director of PMM will execute on three equally critical levels:
- Market intelligence for decision making: Ensuring Agiloft is making product, roadmap, strategy and GTM decisions grounded in validated market signals and intelligence.
- Product partnership positioning: Serving as a strategic player to Product by overlaying, translating and automating market intelligence into a "how we win" architecture with cascading messaging, differentiated positioning and compelling narratives.
- GTM alignment for revenue impact: Equipping Marketing, Sales, Partners, and Customer Success with the narratives, content, and tools to win, retain, and expand.
Job Responsibilities
1. Market Intelligence- Establish a systematic, high quality, always-on intelligence engine by deploying AI powered monitoring tools across all market sources including, but not limited to, competitor messaging, product announcements and pricing shifts, analyst commentary and buyer sentiment across review sites, social channels, and press.
- Use AI transcription to process customer interviews, Customer Advisory Board sessions, win/loss calls, customer assets, sales call recordings, and deal profiles at scale.
- Operationalize the intelligence engine for decision making. Leverage AI to generate content and rank signals from the intelligence engine to be delivered in a consistent cadence. Further operationalize a closed feedback loop where product and sales decisioning is measured and tracked for impact.
- Partner with Customer Support and Product to leverage AI for sentiment analysis, identifying patterns across customer responses, support tickets, and community forums to surface customer pain points, usage and consumption issues and behavioral patterns.
- Serve as an embedded partner to product leadership by bringing validated market demand, buyer and customer intelligence and competitive context into roadmap prioritization decisions. Via the intelligence engine, ensure product prioritization and investment is consistently tied to demonstrable market opportunity.
- Leverage the AI intelligence engine specifically to cluster, prioritize feature requests and pain points into ranked themes that inform roadmap conversations with evidence.
- Champion and drive a post-launch mindset in collaboration with Product/GTM/CS. Define how customers should consume, adopt and expand usage of each solution by use case.
- In partnership with product, develop and maintain a clear, compelling use case library where appropriate by buyer persona, industry vertical, and deployment scenario. Must leverage AI to monitor customer usage patterns, win/loss data, and market signals to automatically recommend use cases in or out.
- Leverage the intelligence loop to rapidly derive our βWINβ messaging frameworks, positioning hierarchies, and persona-specific narratives.
- Use AI-assisted testing to evaluate messaging resonance, identify highest performing narrative and positioning.
- Ensure every external-facing message is aligned, differentiated, and resonant with the economic and functional buyers we serve, addresses use cases and drives consumption.
- Build the AI Infrastructure for execution including AI stack tools (much of which already exist) and a centralized repository.
- Cross-functional governance must be established via established cadences and RACIs.
- Organize, develop, and retain a high-performing product marketing organization spanning core PMM, analyst relations, customer marketing, content strategy, Community, and communications. Define team structure, roles, and a clear career ladder.
- Foster a team culture defined by intellectual curiosity, customer obsession, data-driven decision-making and bold, clear communication.
Required Qualifications
- 10+ years of experience in product marketing, strategy, or related roles within enterprise SaaS, with a strong track record influencing product direction and go-to-market success.
- Proven experience partnering cross-functionally with Product, Sales, Marketing, and Customer Success to drive alignment and measurable business outcomes.
- Demonstrated ability to translate complex market, customer, and competitive intelligence into clear positioning, messaging, and βhow we winβ strategies.
- Experience leveraging data, analytics, and AI-driven insights to inform decision-making, shape strategy, and scale execution.
- Strong leadership experience building, managing, and developing high-performing teams across product marketing, analyst relations, and customer advocacy.
- Exceptional storytelling and communication skills, with the ability to influence executives, inspire go-to-market teams, and engage external audiences.
Benefits
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
