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At Sigma Jobs (NOW HIRING)

Sigma Computing

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

About the Role At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a ...

Sigma Computing

Emerging Account Executive

New York, NY · On-site +1

$80K - $90K/yr

At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new ...

Sigma Computing

Enterprise Account Executive

New York, NY · On-site

$150K/yr

At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new ...

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At Sigma information

Does Sigma offer remote work options?

Sigma offers remote work options for certain roles, allowing employees to work from home or other locations. Availability of remote work depends on the specific position and team requirements, and candidates should review job postings for remote work details.

Is Sigma a legit company?

Sigma is a legitimate company that offers various job opportunities, often requiring skills in sales, marketing, or customer service. It is important to research the specific role and verify the company's credentials through official channels before applying.

What is the difference between At Sigma vs Data Analyst?

AspectAt SigmaData Analyst
Required CredentialsBachelor's in relevant field, technical skills in data toolsBachelor's in related field, proficiency in data analysis software
Work EnvironmentCollaborative, project-based teams in tech or consulting firmsOffice or remote, working with data sets and reporting tools
Industry UsageTech, consulting, finance, and healthcare sectorsBusiness, finance, marketing, and healthcare sectors

At Sigma and Data Analyst roles share similar credentials and work environments, often within tech and consulting industries. While both analyze data, At Sigma may focus more on project-based solutions and consulting services, whereas Data Analysts typically handle data reporting and insights within organizations.

How does sigma staffing work?

Sigma staffing involves connecting job seekers with temporary, temp-to-perm, or permanent positions through staffing agencies. The process typically includes submitting an application, undergoing interviews, and matching skills with available roles, often requiring relevant certifications or experience. Staffing agencies handle the placement, payroll, and sometimes training for the roles they fill.

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High-paying jobs that can reach $4,000 a week without a degree often include roles such as commercial truck drivers, sales managers, real estate brokers, and skilled trades like electricians or plumbers. These positions typically require specialized training, certifications, or experience, and may involve long hours or physically demanding work.
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Staff Software Engineer - Backend

Staff Software Engineer - Backend

Sigma Computing

New York, NY • On-site

$240K - $270K/yr

Full-time

Medical, Retirement

Posted 14 days ago

Key responsibilities

  • Solve challenging problems related to providing an interactive experience on data warehouses for data exploration and analysis.

  • Build backend distributed services, new algorithms, and modern APIs to support a cloud application.

  • Triage product or system issues and debug, track, and resolve them by analyzing the sources of issues.

Job description

About the Role
Sigma is transforminghow businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.
What You Will Be Doing
  • Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis
  • Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes
  • Build backend distributed services, new algorithms and modern API to support a cloud application
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues
  • Design and implement new software features to support our fast growing user base
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies

Qualifications We Need
  • 10+ years industry experience building and maintaining high-quality software
  • Experience building and deploying robust and secure web applications in a continuous deployment environment
  • Desire to be a great teammate and have fun at work without compromising ownership towards your work
  • Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma
  • Strong Computer Science fundamentals

Qualifications We Want (also, skills you'll learn!)
  • Data driven aptitude and its application to solve distributed system problems
  • Data model design, and API development experience
  • SQL query optimization and database internals
  • Administered cloud service infrastructure (GCP, AWS, Azure)
  • Prior experience working at high growth company solving technical problems to enable continued success

Additional Job details
The base salary range for this position is $240k - $270k 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 stock options, as well as a comprehensive benefits package.
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.
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 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.

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