Statsig is looking for a Solutions Engineer to provide technical leadership and expertise to prospects and customers adopting our experimentation platform. In this role, you will serve as the primary technical point of contact for complex customer engagements, demonstrating product value and designing solutions that catalyze positive change in how builders build.

What You'll Do

Conduct technical discovery calls with prospective customers to understand their specific needs and pain points.
Develop and deliver compelling technical presentations and demos showcasing the product suite's value proposition.
Collaborate with sales teams to develop and execute effective sales strategies.
Provide technical guidance and support to sales teams throughout the sales cycle.
Serve as a subject matter expert on the experimentation, feature management, and analytics product suites.
Conduct technical deep dives, proof of concepts, and troubleshooting sessions to resolve complex issues.
Stay up-to-date with industry trends, emerging technologies, and the latest product features.
Provide feedback to the product team on customer needs and market trends.
Contribute to the development of technical documentation and training materials.
Work closely with customers to ensure successful deployment and adoption of the platform.
Provide technical support and troubleshooting assistance as required.

What We're Looking For

4+ years of experience as a Solutions Engineer or Sales Engineer, selling a technical product to enterprise customers.
Experience leading technical proof of concept or proof of value evaluations.
Proficient in sales frameworks.
Deep knowledge of web technologies, including HTML, CSS, and JavaScript.
Familiarity with SQL.
Eagerness to learn new products and help the company improve products continuously.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Willingness to collaborate across various US time zones.

Nice to Have

Strong understanding of experimentation methodologies.
Strong understanding of feature management and processes.
Experience with data analysis and visualization tools (e.g., SQL, Python, Tableau).
Proficiency in programming languages such as Python.
Experience in JavaScript frameworks like React or Next.js.
Experience with cloud warehouse tooling (BigQuery, Redshift, Snowflake, Synapse, Firebolt).
Knowledge of statistical modeling.
Experience with data pipelines and ETL processes.