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About the Role

Sigma is seeking a Manager, Commercial Solution Engineering to lead a team of Solution Engineers focused on making data access easy and driving business results. This player-coach leader will act as a trusted advisor, partnering with Sales, Customer Success, Product, and Marketing, while ensuring the growth and output of their team.

Responsibilities

• Hire, ramp, and coach a team of Commercial Solution Engineers, providing direct and timely feedback.
• Build individual development plans for team members.
• Continuously build a pipeline of strong SE candidates.
• Step into discovery calls, deliver demos, present roadmaps, cover customer calls, or represent Sigma in executive audiences.
• Partner with Commercial sales leaders, customer success, and the partner channel on strategy and execution to grow revenue.
• Represent Solution Engineering in forecast, pipeline, and deal-strategy conversations.
• Coach the team to root every engagement in the customer's problem.
• Review discovery sessions, demos, and POCs to ensure quality.
• Build relationships with Product, Marketing, and other cross-functional partners.
• Represent the Commercial segment's voice in company-wide Solution Engineering initiatives.
• Set and deliver on quarterly and annual objectives for the team.
• Ensure RFP/RFI, technical, and security responses meet Sigma's standards.
• Manage day-to-day team operations, including capacity planning, deal coverage, and performance management.

Requirements

• 4-5+ years of experience as a Solution Engineer, Sales Engineer, or similar pre-sales technical role, ideally in business intelligence, analytics, or data platforms.
• 1-5 years of experience directly managing a technical or customer-facing team, with a track record of coaching individuals into stronger performers.
• Strong data background — fluency in SQL, cloud data warehouses (Snowflake, Redshift, BigQuery), and modern BI/analytics tooling.
• Customer relationship skills and a track record of partnering with sales leadership to grow revenue in a defined territory or segment.
• Comfort presenting to and building relationships with VP/C-level audiences.
• Experience building and maintaining a hiring pipeline.
• Excellent organizational skills and ability to multitask in a fast-paced startup environment.
• Bachelor's degree in computer science or related field or equivalent technical & business experience.

Skills

• SQL
• Cloud data warehouses (Snowflake, Redshift, BigQuery)
• Modern BI/analytics tooling
• Consultative selling
• ETL experience (Fivetran, Matillion, or traditional ETL)

Location

• San Francisco, CA

Work Type

• Hybrid
• Onsite (4 days/week)

Experience Level

• Manager

Education Level

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

Salary/Compensations

• $170k - $195k annually

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
• Variable pay (based on goal achievement)
• Stock options

About the Company

• Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with governance and security inherited from the cloud data warehouse. No extracts, no separate AI pipelines, no shadow stack to maintain. 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.
• 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.

Equal Opportunity

• 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.