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Manager, Commercial Solution Engineering San Francisco, CA (hybrid, 4 days/week onsite)
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.
We are growing the Solution Engineering team and are looking for a Manager, Commercial Solution Engineering to lead our Commercial team — a group of Solution Engineers with a shared mission to make data access easy and drive business results.
The Sigma Solution Engineering Manager is a first-line, player-coach leader who believes in the power of coaching people and the power of analytics to transform organizations. You act as a trusted advisor to your team and to the business, working in tandem with Sales, Customer Success, Product, and Marketing, while remaining ultimately responsible for the health, growth, and output of your Commercial Solution Engineering team.
Hire, ramp, and coach a team of Commercial Solution Engineers, giving direct and timely feedback delivered from the heart — always be coaching
Build individual development plans that give each SE agency and a path toward future leadership
Keep a warm bench by continuously building a pipeline of strong SE candidates so your next hiring search never starts cold
Be ready to personally step into a discovery call, deliver a demo, present a roadmap, cover a customer call, or represent Sigma in front of an executive audience at any time
Partner with Commercial sales leaders, customer success, and the partner channel on strategy and execution to grow revenue in your territory
Represent Solution Engineering in forecast, pipeline, and deal-strategy conversations
Coach your team to root every engagement in the customer's problem — why Sigma, why now, why do anything, so what/who cares
Review discovery sessions, demos, and POCs to raise the bar on quality across the team
Build relationships with Product, Marketing, and other cross-functional partners so SE feedback shapes the roadmap and messaging
Represent the Commercial segment's voice in company-wide Solution Engineering initiatives
Set and deliver on quarterly and annual objectives for your team
Ensure RFP/RFI, technical, and security responses coming out of your team meet Sigma's bar
Manage day-to-day team operations, including capacity planning, deal coverage, and performance management
As leaders, our goal is to make our people and teams successful. When we do that, everyone wins. You're a role model of technical and sales excellence, continuously developing and coaching your team so they're empowered, have agency, and become the next generation of leaders.
Develop your people — ABC — always be coaching. Relentlessly give feedback in a timely fashion, delivered from the heart — we're in this together, and this is how we succeed.
Audible-ready — You're always ready to step in and give a demo, present a roadmap, cover a call, or get in front of an executive audience.
Win as a team — Team with sales leaders, customer success, and the partner channel on the strategy and execution to grow revenue in your territory.
Consultative selling mindset — Your team should be thinking “how do I help my customer solve their problem with Sigma.” Maniacally ask why Sigma, why now, why do anything — and “so what, who cares.”
Align and collaborate — Create and nurture relationships across other functions at Sigma (e.g. product and marketing). We are more effective as one team.
Keep a warm bench — Continuously build a pipeline of strong candidates so a hiring search never starts cold.
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
25% Travel
Experience scaling a Solution Engineering or technical pre-sales team through hypergrowth
Experience at a SaaS company or with cloud architectures
Startup experience
ETL experience — Fivetran, Matillion, or traditional ETL
The base salary range for this position is $170k - $195k 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 variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.
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!
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.
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.
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).
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.
Solutions Engineer @ Sigma Computing
Data Analytics & BI | Sigma Solutions Engineer
Solutions Engineering at Sigma Computing
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