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Solutions Engineer
| Company | Statsig |
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| Location | San Francisco, CA, USA |
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| Salary | $100000 – $130000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Junior, Mid Level |
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Requirements
- 2+ years of experience working as a Solutions Engineer / Sales Engineer, selling a technical product to enterprise customers.
- Led technical proof of concept/proof of value evaluations.
- Proficient in sales frameworks.
- Deep knowledge of web technologies, including HTML, CSS, and JavaScript.
- Familiarity with SQL.
- Eager 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 timezones.
Responsibilities
- Conduct technical discovery calls with prospective customers to understand their specific needs and pain points.
- Develop and deliver compelling technical presentations and demos that showcase the value proposition of our product suite.
- Collaborate with sales teams to develop and execute effective sales strategies.
- Provide technical guidance and support to sales teams throughout the sales cycle.
- Provide technical leadership and guidance to customers throughout the entire customer journey.
- Serve as a subject matter expert on our experimentation, feature management, and analytics product suites, its capabilities, and best practices.
- Conduct technical deep dives, proof of concepts, and troubleshooting sessions to resolve complex issues.
- Stay up-to-date with industry trends and emerging technologies.
- Stay up-to-date on the latest product features and capabilities.
- 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 our platform.
- Provide technical support and troubleshooting assistance as required.
Preferred Qualifications
- 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 framework like react, next.js, etc.
- Experience with cloud warehouse tooling (BigQuery, Redshift, Snowflake, Synapse, Firebolt).
- Knowledge of statistical modeling.
- Experience with data pipelines and ETL processes.
