Product Marketing Manager
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Responsibilities
- Positioning & Messaging
- Develop and own the "Why Distyl" narrative for CX, tailored by vertical
- Build competitive positioning against direct competitors and the "build internally" alternative
- Continuously evolve messaging based on what's landing in sales conversations and customer feedback
- Translate technical capabilities into business value for C-suite and operational leaders
- Sales Enablement
- Build pitch decks that AEs can run independently without founders in every meeting
- Create one-pagers, leave-behinds, battle cards, and objection handling guides
- Develop demo talk tracks and supporting materials
- Support RFP responses and custom pitch materials for strategic deals
- Partner with sellers to understand what's working in conversations and what's missing
- Partner with brand and creative to shape website updates and highly designed marketing collateral
- Proof Points & Customer Evidence
- Develop and maintain customer case studies (sanitized, compelling, reusable)
- Build ROI frameworks and value quantification tools that support deal advancement
- Establish and manage a customer reference program
- Create customer proof points that can be leveraged across sales, marketing, and PR
- Content & Thought Leadership
- Write white papers, POVs, and thought leadership pieces that establish Distyl's expertise in complex CX and enterprise AI
- Create content for the website as we build out inbound capabilities
- Ghostwrite for founders when needed on high-visibility content
- Market & Competitive Insight
- Maintain a strong point of view on the CX AI landscape, buyer priorities, and competitive positioning
- Feed market insights into solution packaging, pricing, and GTM strategy
- Track competitor messaging, product launches, and market positioning
Requirements
- As a Product Marketing Manager , you will own how Distyl shows up in the market crafting the narrative, enabling our sales team, and building the foundational content that positions Distyl as a leader in enterprise AI for complex customer experience.
- This role sits at the intersection of product, sales, and go-to-market strategy . You will collaborate closely with Sales, Engineering, and Leadership to ensure Distyl's capabilities are clearly articulated to enterprise buyers and differentiated in a rapidly evolving AI landscape.
- 5-8 years of product marketing experience in B2B enterprise software, ideally AI, data platforms, or complex technical products
- Exceptional writing skills-can produce polished, publication-ready decks, one-pagers, and long-form content with minimal oversight
- Proven track record working closely with sales teams-not siloed in "marketing"-with materials that actually get used
- Experience marketing to enterprise buyers in regulated industries (financial services, insurance, healthcare a strong plus)
- Comfortable with technical products and can translate complex capabilities into business value
- Able to operate independently while collaborating closely with founders and cross-functional teams
Benefits
Additional Information
About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
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