# Product Marketing Lead, GenAI

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Product Marketing
**Salary:** $154k – $194k/yr
**Experience:** 5+ years
**Skills:** AI, Generative AI, Product Marketing, Messaging, Positioning, Competitive Intelligence, Social Media Strategy, Content Strategy, AI/ML, X (Twitter), Storytelling, Go-to-Market Strategy
**Posted:** 2026-03-21

> Leads product marketing for GenAI data products, owning positioning, messaging, content strategy, and GTM for AI training data. Requires 5+ years experience marketing to technical audiences, AI fluency, and strong storytelling skills.

## Job Description

## Responsibilities

- Own positioning and messaging for Scale’s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
- Lead the content and social strategy for Scale Labs’ dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community.
- Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
- Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business.
- Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
- Collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

## Requirements

- 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences.
- Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.
- Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners.
- Excellent written communication and storytelling skills — you can make complex technical concepts compelling without oversimplifying them.
- Ability to work across functions and move fast in a dynamic, high-stakes environment.

## Nice to Haves

- Familiarity with the AI training data market, or adjacent data and infrastructure spaces.
- An existing network or relationships within the AI research community.
- Experience navigating competitive markets where differentiation requires more than feature comparisons.

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