Sr. Solutions Engineer, ASE Media and Growth

The Solutions Engineer is a technical expert who guides and enables internal teams to leverage our experimentation platform for model evaluation, data labeling, benchmarking, A/B testing, and data-driven product development.

You will drive the technical discovery, integration, and training process for new teams, providing hands-on support and best practices to ensure a smooth and effective onboarding experience.

A successful candidate will combine deep technical knowledge with strong communication skills to empower teams to execute and scale their experimentation programs.

You will be able to access when deeper technical investigations are more appropriate or when a more pragmatic solution is needed all the while using your business acumen to guide teams to the most impactful approach.

Your day to day will include sitting with the ML Engineers to understand their needs and help them accelerate their development through proper use of our platform evaluation and experimentation capabilities.

As well as identifying new capabilities that need to be added to the platform to increase the value to our internal customers.

Experience with a/b testing, reverse tests, holdouts, or other forms of product experimentation is a plus.

Experience with model and feature evaluation is a plus Experience with data labeling and annotation platforms is a plus Proven experience as a Solutions Engineer, Implementation Engineer, or Technical Consultant, preferably with experience supporting an internal platform or developer-facing tool.

Experience in a cross-functional role, collaborating with engineering, product, and data teams.

Hands-on experience with software development in one or more programming languages (e.g., Ruby, Python, JavaScript, Java, Go) and a strong understanding of web technologies.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Strong analytical and problem-solving skills, with a methodical approach to troubleshooting technical challenges.

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.