Commercial Solution Engineer

Back to jobs Commercial Solution Engineer San Francisco, CA Apply     The Sigma Commercial 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, Customer Success, 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 Commercial Sales Representatives  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 targeted discovery sessions or workshops 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 to 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 help customers develop their data lifecycle and analytics strategy with Sigma 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 2 years of analytics, business intelligence, or sales engineering experience Customer relationship skills Strong understanding of database concepts Understanding of advanced spreadsheet concepts Cloud data warehouse experience - Snowflake, Redshift, BigQuery 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 technical/analytics field or equivalent technical & business experience 10% 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 ETL experience - Fivetran, Matillion or traditional ETL Additional Job details The base salary for this position is $100k - 120K annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a highly competitive variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.    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 Computing 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, or veteran 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, and London.   Create a Job Alert Interested in building your career at Sigma Computing? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Email * Phone Country * Phone * Location (City) Locate me Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Current company * Point of Data Transfer * Select... When you submit a job application on this site, Sigma collects and processes your personal data for its recruitment needs, like arranging interviews, evaluating candidates, assessing results and as is otherwise needed throughout the recruiting process. Sigma is legally permissible to do so under Art. 6(1)(f) of Regulation (EU) 2016/679 (GDPR), citing it as necessary for their interests in hiring. Sigma may share your data with Greenhouse Software in the US, which is used to manage its recruitment and hiring process. If you're outside the US, your data might be transferred to the US once you submit it through this site and such transfer will be subject to appropriate safeguards under standard contractual clauses adhering to EU-approved safeguards. Sigma keeps your data as long as needed for job evaluation. You can exercise your privacy rights by contacting privacy@sigmacomputing.com or by submitting a request through this web portal . For more details, check the Privacy Policy . Submit application