Vp of Engineering

**Who is Sonar?**

We believe in developing great products that are supported by great internal teams and a strong culture. We are highly **committed** to and **obsessed** with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily.

We are **deliberate** with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly.

And lastly, we are highly **effective** and operationally **efficient**. We operate collectively as One Team to accomplish our goals.

At Sonar, CODE is more than just an acronym - it's a mindset that defines daily operations.

**Why You Should Apply**:
At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems - we help fix issues at the source - for all code, whether it's developer-written, AI-generated, or from third parties.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster.

**The Impact You Will Have**:
As the Vice President of Data & AI, you will be the transformative force that turns our data into a strategic enterprise asset. Your vision will directly shape our competitive edge by fostering a data-first culture, driving the development of advanced AI and machine learning models to unlock new revenue streams, and dramatically improving operational efficiency. You will build and mentor a world-class team of data professionals, establishing the foundational data infrastructure and governance that empowers the entire organization to make smarter, faster, and more impactful decisions. Your leadership will be pivotal in defining not just our data strategy, but the future of our business.

**What You Will Do Daily**:
- Spearhead the company's entire Data & AI organization - encompassing data engineering, data science, machine learning, and analytics - to deliver transformative data products and AI-powered capabilities that drive business value.
- Define and champion the company's comprehensive Data & AI strategy, establishing a clear vision for how data science, analytics, and machine learning will create a sustainable competitive advantage.
- Own the architecture and roadmap for the company’s enterprise data platform, machine learning infrastructure (MLOps), and analytics ecosystem, ensuring robust scalability, reliability, and data integrity.
- Serve as the executive data partner to the entire organization, collaborating with Product to embed AI into the user experience and with business leaders to foster a data-driven culture through actionable insights.
- Establish and enforce a rigorous data governance framework, ensuring data quality, privacy, security, and compliance across the entire data lifecycle.
- Implement and champion best practices in DataOps and MLOps to increase the velocity and reliability of data pipelines and model deployment. Foster a culture of rigorous experimentation and responsible AI development.
- Build and scale a world-class organization of Data Scientists, ML Engineers, Data Engineers, and Analysts. Own the talent strategy for all data functions, from recruitment and retention to defining specialized career paths.
- Mentor and develop a senior leadership team across the data and AI functions, building the technical and strategic capabilities required to solve the company's most complex challenges.

**The Experience You Will Need**:
- 15+ years of progressive experience in the engineering domain, with at least 8+ years in an international leadership capacity managing high-performing data engineering, data science, and/or machine learning teams.
- A proven track record of delivering large-scale data platforms and productionized ML models that have resulted in significant, measurable business impacts (e.g., revenue growth, cost savings, enhanced user engagement).
- Deep technical expertise in the modern data and AI ecosystem, including cloud data platforms (e.g., Snowflake, Databricks, BigQuery), MLOps principles, ML frameworks (e.g., TensorFlow, PyTorch), and data orchestration technologies.
- Exceptional communication and influencing skills, with the ability to articulate a compelling vision for data and AI and translate complex technical concepts into business value for an executive audience (C-sui