Sonar

Sonar

Director of Product Marketing, AI

San Mateo, CA · Director · Contract

Sponsorship not specifiedDetected 9 days ago
Code ReviewGitCI/CDDevOpsLLMsAgentic AISalesCustomer SuccessResearchLeadershipCommunicationCollaborationPublic Speaking

About the role

  • Sonar is driving the future of agent-centric software development.
  • As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
  • We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC).

Responsibilities

  • 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.
  • 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.
  • 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.
  • Sales enablement that lands: Experience building enablement programs that get sales teams excited to sell, not just trained on talking points.
  • Energize sales: Build and deliver enablement content and positioning that does more than inform the sales team.
  • Three anchor days - Mondays, Tuesdays, and Thursdays - create the collaboration rhythm that makes a hub office worth having.

Requirements

  • Ability to connect technical detail to business value for both developers and executive buyers.
  • The ideal candidate will:
  • You are comfortable being the face of the product in front of a room.

Nice to have

  • 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.
  • Engineering degree or equivalent technical background preferred, with real understanding of the SDLC, CI/CD pipelines, and modern AI-native development.
  • Proven leadership: 10+ years in Product Marketing within DevOps, AppSec, or Enterprise Software, including 2+ years at Principal level or higher.
  • Technical depth: Engineering degree or equivalent technical background preferred, with real understanding of the SDLC, CI/CD pipelines, and modern AI-native development.

Skills

  • This is not theoretical knowledge, it is practiced.

Benefits

  • We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength.

Company info

  • A track record of delivering strong presentations directly to customers and speaking at AI coding or developer conferences.
  • 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.
  • Public and customer-facing presence: A track record of delivering strong presentations directly to customers and speaking at AI coding or developer conferences.
  • We are a global company that values and respects different backgrounds, perspectives, and cultures.
  • We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best.

Equal opportunity

  • If you need any accommodation, please reach out to us at hiring@sonarsource.com.

This listing is sourced directly from Sonar's careers page and normalized into a canonical job model.