Director of Data & AI Product Marketing

Protegrity•Menlo Park, CA

1d•$198,700 - $252,500

About The Position

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. Role Overview: Reporting to the VP of Product Marketing, the Director / Senior Director of Data & AI Product Marketing owns the data and AI go-to-market for Protegrity's products across data and knowledge protection the modern data stack and across AI workloads including training, RAG, copilots, and agentic systems. This role exists because the data and AI buyer is now the primary driver of growth in our category: AI projects are stalling on data risk, regulators are sharpening focus on AI-era data use, and CDOs, CDAOs, and AI/ML leaders are taking budget and influence. We need a product marketer who can speak credibly to those buyers, translate Protegrity's technical depth into the outcomes they care about, and convert that into pipeline.

Requirements

10+ years of experience in Product Marketing, Technical Marketing, or related roles within enterprise software, data platforms, cybersecurity, or AI/ML
Proven ability to develop and deliver technical, audience-specific messaging for data, AI, or security products
Deep understanding of the modern data & AI ecosystem (e.g., RAG, LLMs, copilots, data pipelines, AI governance, MLSecOps)
Experience creating technical content and assets (architectures, solution briefs, whitepapers, demos) that stand up to practitioner scrutiny
Strong track record of partnering with Product, Engineering, and GTM teams to influence roadmap, packaging, and go-to-market strategy
Experience building or supporting developer-focused marketing motions, including engagement with technical communities (e.g., GitHub, AI/ML ecosystems)
Demonstrated ability to translate market trends, competitive landscape, and customer insights into actionable GTM strategy and positioning
Exceptional executive communication, storytelling, and leadership skills, with the ability to influence senior stakeholders and operate cross-functionally

Nice To Haves

Experience in AI security, data protection, DSPM, or access governance
Exposure to hyperscaler ecosystems (AWS, Azure, GCP) and partner GTM motions

Responsibilities

Develop technical, outcome driven positioning and messaging for Protegrity’s data security and AI capabilities, grounded in customer pain, risk, and compelling business events
Translate complex technologies (e.g., semantic encryption, knowledge graph protection) into clear, actionable narratives for data, AI, and security buyers
Own the end-to-end Data & AI go-to-market narrative, ensuring all launches, campaigns, and sales motions align to a cohesive market story
Build and operationalize launch frameworks rooted in customer pain hypotheses, target personas, proof points, and sales motion (not feature-driven messaging)
Partner closely with Product Management and Engineering to shape roadmap narrative and ensure strong product-market fit for data and AI use cases
Create high-quality technical content and thought leadership (reference architectures, whitepapers, blogs, demos, webinars) that resonates with both executives and practitioners
Lead developer marketing and community engagement, building adoption with AI/ML developers, data engineers, and platform teams through technical content and ecosystem presence
Drive cross-functional GTM execution, including sales plays, enablement, partner co-sell motions, and competitive positioning, while acting as the voice of the customer across Product, Sales, Alliances, and Leadership