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Statsig is on a mission to fundamentally change how software is built, tested, and shipped. Thousands of companies use Statsig to deploy features safely, run experiments that drive understanding of their customers and business, and analyze user trends to inform their next investment areas. This isn't just about building a better A/B testing tool; this is about catalyzing positive change in how builders build, ultimately resulting in better products and happier customers!

Experimentation is Statsig’s marquee product, and serves as the “front door” for most customers onto the Statsig platform. We pride ourselves on having the most advanced product experimentation offering on the market today, available in both a hosted (Statsig Cloud) deployment mode or native to customers’ warehouses (Statsig Warehouse Native).

Statsig’s Experimentation team is constantly working to push the boundaries of product experimentation tooling, integrating cutting‑edge statistical methods that enable our customers to run more accurate experiments, faster, and constantly leveling up our experimentation tooling to decrease the friction of scaling experimentation across teams.

In this role, you will be responsible for providing technical leadership and expertise to our prospects and customers as they adopt and utilize our experimentation platform. You will be the primary technical point of contact for complex customer engagements, helping them understand the value of our product and evangelize utilization to the technology.

The primary responsibilities are to demonstrate the value of the product to prospective customers, identify pain and design solutions for them, lead to successful evaluations in the sales process, and advocate for our customers within the company.

• Technical Pre‑Sales:

  • 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.

• Technical Evangelization:

  • 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.

• Product Expertise & Customer Support:

  • 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.

We are seeking a talented and experienced Solutions Engineer to join our team who lives the Statsig values and has demonstrated a successful track record in complex solution selling. You are a highly motivated, revenue oriented individual, looking for an opportunity to help prospects understand how to democratize experimentation, feature management, and product analytics.

• 4+ 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.

• 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.

Please note that this job description is subject to change and may not include all responsibilities or qualifications required for the role of Solutions Engineer at Statsig.