Customer Success Engineer

Who is Sonar?

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.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

• SonarQube: The world’s leading AI code review and verification platform.
• SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
• SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

• Committed to our customers and community.
• Obsessed with quality.
• Deliberate in our decisions.
• Effective as one team.

Position description

We're launching Customer Success Engineering — a brand-new function at Sonar, built from Barcelona. As a founding CSE, you'll help write the playbook. We are proactive technical advisors who own the health, maturity, and growth of a customer portfolio — with AI at the core of how we operate, keeping a pulse on every account so we focus our energy where it creates the most impact. CSE is not support, not services, and not a sales overlay. It's a strategic role for engineers who love technology and business impact in equal measure — and who want to redefine what customer success looks like.

Own a portfolio: be the trusted technical advisor for your accounts across the full journey — onboarding, adoption, health, value realization.

Act on signals: AI surfaces the risks and opportunities across your accounts; you take them from signal to outcome — accelerating growth, getting ahead of risk.

Level customers up: lead maturity assessments and outcome reviews that raise how customers build — and prove the impact.

Turn priorities into plans: understand each customer's business priorities and translate them into clear technical plans — empowering them to get the most value from the platform.

Fuel the wider team: hand qualified expansion signals and renewal insight to Sales — clean handoffs, shared wins.

The ideal candidate will:

Bring hands-on experience in DevOps, software engineering, or platform roles: CI/CD pipelines, Git workflows, and how code quality and security fit into them.

Carry a business brain: when AI flags a risk or an opportunity, you know what it means for the customer's business — and you move on it, accelerating the upside and defusing the downside.

Communicate sharply: explaining complex things simply and assertively — to a developer or a VP, in a deep-dive or an executive review.

Bring analytical firepower: spotting patterns, connecting dots across data sources, and turning them into recommendations people act on.

Show founding-team energy: building a path for others to follow, taking ownership, acting before being asked, and staying steady while the map is still being drawn.

Be fluent in English; additional languages are a plus.

Above all: be energetic, coachable, and resilient — with integrity at the core and teamwork as the default. You won't be joining a function; you'll be creating one.

Bonus points: experience with SonarQube, SAST/AppSec tooling, or developer platforms; customer-facing experience (solutions engineering, consulting, support, customer success); Java or another modern language; comfort in Linux; hands-on with AI coding assistants or agentic development.