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    Sigma Computing logo

    Enterprise Solution Engineer - West

    Sigma Computing · Remote · remote · Posted 53d ago

    Not disclosed5+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results.

    The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes.  You will align closely with our field Regional Sales Managers (Enterprise)  focused on sales in new and existing accounts. 

    What You Will Be Doing

    Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop

    Engage with business users to define, create, and showcase solution prototypes

    Build and present customized demos for customers, trade shows, and webinars

    Confidently present and articulate the business value of the Sigma platform to all levels within an organization

    Deliver product, technical, and security related responses on RFPs/RFIs

    Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets

    Work as a team player by contributing, learning, and sharing new knowledge

    Be conversant in integration and data migration approaches to facilitate enterprise-type sales cycles

    Manage multiple customer engagements concurrently

    Attain quarterly and annual objectives assigned by management

    Become a Sigma champion and product expert, prospects and customers will look to you for advice and expertise

    Qualifications We Need

    Minimum 5 years of business intelligence experience 

    Customer relationship skills

    Strong understanding of database concepts

    Cloud data warehouse experience - Snowflake, Redshift, BigQuery

    ETL experience - Fivetran, Matillion or traditional ETL

    Excellent organizational skills and ability to multitask in a fast-paced startup environment

    Experience implementing production business intelligence solutions or proof of concepts

    Bachelor’s degree in computer science or related field or equivalent technical & business experience

    25% Travel

    Qualifications We Want (also, skills you’ll learn!)

    Experience at a SaaS company or with cloud architectures

    Experience with data analytics business use cases

    Startup experience

    About Sigma

    Sigma is a modern analytics & business intelligence (BI) application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface—empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be: a single source of truth that eliminates data extracts, simplifies analysis, and drives BI adoption at every level of business. Sigma is closing the gap between data teams and business experts. To learn more about Sigma, visit www.sigmacomputing.com or join the conversation on Twitter @SigmaComputing. About us: 

    Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. 

    Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

    Come join us!

    Benefits For Our Full-Time Employees:

    Equity                                                                                                 

    Generous health benefits

    Flexible time off policy. Take the time off you need!

    Paid bonding time for all new parents

    Traditional and Roth 401k

    Commuter and FSA benefits

    Lunch Program

    Dog friendly office

    Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

    Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

    Our Privacy Practices

    When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). 

    Sigma’s use of AI

    This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

    Sourced from greenhouse

    Skills

    Apache Sparkdata warehouseredshiftbigqueryBusiness DevelopmentDatabricksPythonSQLSnowflakeProduct ManagementETL

    About Sigma Computing

    Sigma Computing logo

    Sigma Computing

    San Francisco

    US

    About

    Sigma Computing develops cloud-based analytics and business intelligence software for data exploration and analysis. The company provides a spreadsheet-style interface that allows users to work with large datasets using familiar formulas, tables, and reporting workflows. Its platform supports live data analysis, dashboard creation, embedded analytics, workflow automation, and collaborative data applications. Sigma Computing also offers AI-powered capabilities for querying data, building applications, and integrating machine learning models within analytics processes. The platform connects directly to cloud data infrastructure, helping teams manage, visualize, and interact with operational and business data without requiring data movement or coding expertise.

    Industries

    AnalyticsArtificial Intelligence (AI)Business IntelligenceCloud Data ServicesComputerSoftware

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