Enterprise Solution Engineer - West
Sigma Computing2 months ago
Responsibilities
- Lead customer discovery sessions and workshops to identify business challenges.
- Define, create, and showcase solution prototypes with business users.
- Build and present customized product demonstrations for customers, trade shows, and webinars.
- Explain the business value of the Sigma platform to stakeholders at all organizational levels.
- Provide product, technical, and security responses to RFPs and RFIs.
- Advise customers on integration and data migration approaches during enterprise sales cycles.
- Manage multiple customer engagements concurrently and meet assigned quarterly and annual objectives.
- Collaborate with Sales, Business Development, Product Management, Engineering, and Support.
- Develop and maintain product, sales, and technology expertise through relevant certifications.
Requirements
- At least 5 years of business intelligence experience.
- Strong customer relationship and organizational skills, with the ability to multitask.
- Strong understanding of database concepts.
- Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery.
- Experience with ETL tools such as Fivetran or Matillion, or with traditional ETL.
- Experience implementing production business intelligence solutions or proofs of concept.
- Bachelor’s degree in computer science or a related field, or equivalent technical and business experience.
- Ability to travel 25%.
- Preferred: experience at a SaaS company or with cloud architectures.
- Preferred: experience with data analytics business use cases.
- Preferred: startup experience.
Benefits
- Equity.
- Generous health benefits.
- Flexible time off policy.
- Paid bonding time for all new parents.
- Traditional and Roth 401k.
- Commuter and FSA benefits.
- Lunch program.
- Dog-friendly office.
- In-office work environment at Sigma offices, with a 25% travel expectation.
About Sigma Computing
Sigma Computing builds an AI apps and analytics platform that runs directly on cloud data warehouses for business and technical teams to explore live data, build apps, and automate workflows. It’s delivered as SaaS with spreadsheet, SQL, and Python interfaces for governed reporting, embedded analytics, and data applications. Privately held in San Francisco, it serves customers like JPMorgan Chase and Colgate-Palmolive and raised a Series E round in May 2026.