Customer Success Engineer

What You'll Do:

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.

Experience and Qualifications:

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.