# Product Marketing Manager

**Company:** [Distyl AI](https://hotfix.jobs/companies/distyl-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Product Marketing
**Salary:** $130k – $180k/yr
**Experience:** 5+ years
**Skills:** Product Marketing, Sales Enablement, Positioning & Messaging, Competitive Analysis, Pitch Decks, Battle Cards, Case Studies, Roi Frameworks, Thought Leadership, White Papers, Ai Marketing, B2B Enterprise Software, Customer References, Rfp Responses, Go-to-Market Strategy
**Posted:** 2026-03-06

> Owns product marketing for enterprise AI in customer experience, crafting positioning/messaging by vertical, building sales enablement materials like pitch decks and battle cards, and creating proof points including case studies and ROI tools. Requires 5-8 years B2B enterprise software experience, exceptional writing, and early-stage startup background.

## Job Description

## Key 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

## Who You Are
- 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
- Has been early at a company before (first 50 employees) or demonstrated ability to build from scratch without established playbooks
- 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
- Strong plus if you have experience building or specific ideas for AI-Native Product Marketing

## What We Offer
- The base salary range for this role is $130K – $180K, depending on experience, location, and level
- In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 100% covered medical, dental, and vision for employees and dependents
- 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
- Access to state‑of-the‑art models, generous usage of modern AI tools, and real‑world business problems

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