[All remote jobs](https://jobicy.com/jobs.md)[![Sigma Computing logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5a8fdb55-221.jpg)](https://jobicy.com/company/sigma-computing.md)[Sigma Computing](https://jobicy.com/company/sigma-computing.md) # Enterprise Solution Engineer – South East / Mid Atlantic Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/sigma-computing.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceOpen levelPublished21 Oct 2026Apply before20 Nov 2026Listing views46Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Sigma is seeking an enterprise-focused Solution Engineer to lead technical presales activities for its cloud-native BI and analytics platform across the Southeast and Mid-Atlantic US. The role partners closely with enterprise sales teams to discover customer challenges, run workshops, build prototypes, and present tailored demonstrations. It requires strong experience with business intelligence, databases, cloud data warehouses, ETL, and enterprise sales cycles. The successful candidate will manage several customer engagements, support RFP/RFI responses, and communicate platform value to both technical and executive stakeholders. This is a full-time remote US role with an expected 25% travel commitment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role combines deep BI and cloud-data technical knowledge with high-stakes enterprise presales execution. It requires independently managing concurrent opportunities while tailoring technical narratives to diverse business and technical audiences. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$150,000US market range (per year)$125k–$180k0$198.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Estimated US annual base salary for an enterprise BI Solution Engineer is $125,000–$180,000, with an estimated midpoint of $150,000; variable sales compensation, equity, and benefits may be additional. ## Core skills Skills and capabilities most closely associated with this opportunity. [Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Technical presales](https://jobicy.com/jobs?search_keywords=Technical%20presales.md)[Solution consulting](https://jobicy.com/jobs?search_keywords=Solution%20consulting.md)[Customer discovery](https://jobicy.com/jobs?search_keywords=Customer%20discovery.md)[Product demonstrations](https://jobicy.com/jobs?search_keywords=Product%20demonstrations.md)[Cloud data warehouses](https://jobicy.com/jobs?search_keywords=Cloud%20data%20warehouses.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Amazon Redshift](https://jobicy.com/jobs?search_keywords=Amazon%20Redshift.md)[Google BigQuery](https://jobicy.com/jobs?search_keywords=Google%20BigQuery.md)[ETL](https://jobicy.com/jobs?search_keywords=ETL.md)[Fivetran](https://jobicy.com/jobs?search_keywords=Fivetran.md)[Data integration](https://jobicy.com/jobs?search_keywords=Data%20integration.md)[RFP and RFI responses](https://jobicy.com/jobs?search_keywords=RFP%20and%20RFI%20responses.md)[Prototype development](https://jobicy.com/jobs?search_keywords=Prototype%20development.md)[Enterprise sales](https://jobicy.com/jobs?search_keywords=Enterprise%20sales.md) Sample interview questionsHow would you structure a discovery session with a prospective enterprise customer?I would begin by clarifying the business objectives, stakeholders, current analytics workflow, and success measures. I would then identify data sources, governance constraints, user personas, and technical architecture before confirming a prioritized use case for a demonstration or proof of concept. Describe how you would tailor a Sigma demonstration for both executives and technical data teams. For executives, I would focus on business outcomes such as faster decisions, governed self-service analytics, and adoption. For technical teams, I would show live warehouse connectivity, data controls, SQL or Python capabilities, scalability, and how the platform fits their existing cloud architecture. What approach would you take to build a proof of concept using a customer's cloud data warehouse? I would define acceptance criteria with the customer, validate secure connectivity and source data readiness, and select a high-value workflow that can be delivered quickly. I would build an iterative prototype, gather user feedback, document results, and connect the demonstrated value to the customer's purchase objectives. How do ETL and data migration considerations affect an enterprise BI sales cycle? They affect implementation effort, time to value, data freshness, governance, and ownership. I would assess the existing ingestion and transformation stack, explain how Sigma can work with the customer's warehouse and ETL tools, and address migration risks early with a clear technical plan. How would you manage several concurrent presales engagements while maintaining quality? I would qualify opportunities with the sales team, establish mutual action plans, prioritize based on customer stage and strategic value, and reuse validated demo assets where appropriate. I would maintain clear documentation, communicate risks early, and reserve time for customer-specific preparation and follow-up. Opportunity details ## 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 * Business consulting * AI/Apps development experience * 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](https://www.sigmacomputing.com/legal/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. Show more [Apply now >](https://jobicy.com/jobs/156263-enterprise-solution-engineer-south-east-mid-atlantic.md) > Annual salary information is not provided for this position. 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