Director of Product Marketing, AI

What you will do

Define and evangelize: Own the positioning and messaging hierarchy for the Sonar platform, grounded in customer outcomes rather than feature lists, and carry that narrative across every stage of the customer journey.

Shape the AI narrative: Build Sonar's point of view on the AC/DC (agentic SDLC), including AI coding tools, coding agents, and LLM-generated code, based on hands-on use of tools like Claude Code, Cursor, GitHub Copilot, and Windsurf.

Present to customers and the market: Deliver compelling presentations directly to customers and prospects, and represent Sonar on stage at major AI coding and developer events as a recognized voice in the space.

Energize sales: Build and deliver enablement content and positioning that does more than inform the sales team. It should get them genuinely excited and confident to sell in AI-driven deals.

Orchestrate cross-functionally: Act as the connective link between Product, Engineering, Sales, Demand Gen, Customer Success, PR, and Analyst Relations to keep go-to-market aligned.

Track the market: Maintain a sharp view of the competitive landscape across DevOps, AppSec, and AI tools, and turn that into input for product and sales strategy.

Build analyst and PR relationships: Partner with communications on analyst briefings (Gartner, Forrester) and media relationships that reinforce Sonar's leadership in code quality and security.

Experience and qualifications

The ideal candidate will

Proven leadership: 10+ years in Product Marketing within DevOps, AppSec, or Enterprise Software, including 2+ years at Principal level or higher. Experience working closely with developers is a strong plus.

Technical depth: Engineering degree or equivalent technical background preferred, with real understanding of the SDLC, CI/CD pipelines, and modern AI-native development.

Hands-on agentic AI experience: Regular, current use of agentic coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, or similar) and a clear, informed point of view on how AI agents are changing software engineering. This is not theoretical knowledge, it is practiced.

Public and customer-facing presence: A track record of delivering strong presentations directly to customers and speaking at AI coding or developer conferences. You are comfortable being the face of the product in front of a room.

Sales enablement that lands: Experience building enablement programs that get sales teams excited to sell, not just trained on talking points.

Strategic storytelling: Ability to connect technical detail to business value for both developers and executive buyers.

Analyst relations: Experience engaging industry analysts and participating in major research evaluations (Gartner Magic Quadrant, Forrester Wave).

Communication mastery: Excellent written and verbal communication, with the ability to simplify complex ideas for any audience.