Sigmacomputing

<div> 
 </div>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 spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our <a href="https://www.sigmacomputing.com/blog/sigmas-ai-ml-future" rel="noopener noreferrer ugc" target="_blank">blog post</a>.
That’s where you come in. As an AI/ML PhD Intern, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. 
What You’ll Do
<ul>
<li>Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more</li>
<li>Prototype and productionize AI systems that feel intuitive but do a lot under the hood</li>
<li>Tackle novel UX problems at the intersection of AI, analytics, and data apps</li>
<li>Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models.</li>
</ul>
What You Bring
<ul>
<li>Current PhD student studying AI/ML at a U.S. accredited university</li>
<li>Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization</li>
<li>Baseline understanding of building and deploying production-grade AI/ML systems</li>
<li>Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring</li>
<li>Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment.</li>
</ul>
Bonus Points (or skills you’ll build here)
<ul>
<li>You've built agents that can plan, reason, and use tools</li>
<li>You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains</li>
<li>You know your way around cloud infrastructure (AWS, GCP, Azure)</li>
<li>You’ve worked in a fast-moving startup or high-growth environment</li>
</ul>
Additional Job details
The hourly rate range for this position is $80-$90 an hour
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. 
Note: We have an in-office work environment in all our offices in SF, NYC, and London.<div>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!
<h4>Benefits For Our Full-Time Employees:</h4>
<ul>
<li>Equity                                                                                                 </li>
<li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
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 <a href="https://www.sigmacomputing.com/legal/candidate-privacy-notice" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Notice</a> 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. </div>

AI/ML PhD Intern (Summer 2027)

<div> 
 </div><h4>Data Engineer, Data Platform </h4>
<h4>About the Role</h4>
We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects.
If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!
<h4>What You Will Be Doing</h4>
<ul>
<li>Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)</li>
<li>Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses</li>
<li>Partner with our infrastructure engineering team to ensure high availability of all key data assets</li>
<li>Build and scale our data governance policies</li>
<li>Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels</li>
</ul>
<h4>Qualifications We Need</h4>
<ul>
<li>Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)</li>
<li>Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.</li>
<li>Experience deploying data governance frameworks with a scalable and repeatable process</li>
<li>Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that</li>
<li>3+ years of relevant experience working in a data engineering role</li>
<li>Startup experience</li>
</ul>
<h4>Qualifications We Want (also, skills you’ll learn!)</h4>
<ul>
<li>A drive to continuously learn (and share those learnings) about the evolving data ecosystem</li>
<li>Familiarity with dbt</li>
<li>Advanced knowledge python knowledge</li>
<li>Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)</li>
<li>Advanced knowledge of working with public clouds (e.g., AWS, GCP)</li>
</ul>
Additional Job details
The base salary range for this position is $140k - $180k 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.<div>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!
<h4>Benefits For Our Full-Time Employees:</h4>
<ul>
<li>Equity                                                                                                 </li>
<li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
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 <a href="https://www.sigmacomputing.com/legal/candidate-privacy-notice" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Notice</a> 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. </div>

Data Engineer

<div> 
 </div>Location: New York City or San Francisco - 4 days in office
<h2>About the Role</h2>
We are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments.
This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses.
You will be joining a dynamic and highly technical Security Engineering team at Sigma.
This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data.
<h2>What You'll Do</h2>
<ul>
<li>Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments.</li>
<li>Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation.</li>
<li>Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information.</li>
<li>Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents.</li>
<li>Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage.</li>
<li>Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical services.</li>
<li>Partner with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity while maintaining strong data protection controls.</li>
<li>Design and implement security controls for modern data platforms, data warehouses, AI-enabled systems, and cloud-native environments.</li>
<li>Assess data architectures, access models, and security configurations while driving secure-by-design principles through architecture reviews, threat modeling, and security best practices.</li>
<li>Continuously identify opportunities to leverage AI, automation, and modern engineering practices to solve data security challenges.</li>
<li>Evaluate emerging technologies and drive adoption where they provide measurable security and operational value.</li>
</ul>
<h2>What We're Looking For</h2>
Required Qualifications
<ul>
<li>5+ years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related cybersecurity roles.</li>
<li>Bachelor or Masters in Computer Science, Cyber Security, or similar fields.</li>
<li>Strong software engineering mindset with demonstrated experience building production-grade tools, automation, and security platforms.</li>
<li>Proven ability to build versus buy whenever practical and create scalable internal solutions.</li>
<li>Experience designing and implementing platforms like Insider threat and data protection technologies (SIEM, UBA, DSPM, SSPM,DLP, Browser Protection, Endpoint detection)</li>
<li>Strong understanding of data security principles including data classification, data governance, access controls, encryption, key management, and data lifecycle management.</li>
<li>Hands-on experience securing SaaS platforms, cloud environments, endpoints, collaboration systems, and modern data platforms.</li>
<li>Experience leveraging AI to improve data protection, investigations, classification, and security workflows.</li>
<li>Strong analytical, communication, and problem-solving skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience securing Snowflake, Databricks, BigQuery, Redshift, or similar modern data platforms.</li>
<li>Strong understanding of AI/LLM data protection risks, data leakage prevention, and AI governance.</li>
<li>Building programs and solving complex security challenges across enterprise-wide data Security Programs.</li>
<li>Experience building internal security products, platforms, and developer-focused security tooling.</li>
<li>CISSP, CCSP, or equivalent certifications.</li>
</ul>
<h2>Additional Job details</h2>
The base salary range for this position is $175k - $220k 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.<div>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!
<h4>Benefits For Our Full-Time Employees:</h4>
<ul>
<li>Equity                                                                                                 </li>
<li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
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 <a href="https://www.sigmacomputing.com/legal/candidate-privacy-notice" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Notice</a> 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. </div>

Senior Security Engineer - Data Security

<div> 
 </div><h4>About the Role</h4>
Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma’s intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users.
What You Will Be Doing
<ul>
<li>Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge</li>
<li>Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans</li>
<li>Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures</li>
<li>Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features </li>
<li>Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product</li>
<li>Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions throughout the team and company</li>
</ul>
Qualifications We Need
<ul>
<li>5+ years experience engineering high-quality software systems</li>
<li>Demonstrated success building and maintaining complex infrastructure or core platform services</li>
<li>Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization</li>
<li>Passion for teamwork, technical ownership, and continually raising the engineering bar</li>
<li>Experience working in an iterative, high-cadence environment</li>
</ul>
Qualifications We Want (also, skills you’ll learn!)
<ul>
<li>Exposure to distributed systems, query optimization, or database internals</li>
<li>Experience with API or data model design in the context of high-performance cloud services</li>
<li>Familiarity with cloud infrastructure (e.g., GCP, AWS, Azure)</li>
<li>A curiosity for new languages and tools, and a drive to solve challenging problems at scale (Rust, Go, Node, K8s, GraphQL)</li>
</ul>
Additional Job details
The base salary range for this position is $170k - $235k 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.<div>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!
<h4>Benefits For Our Full-Time Employees:</h4>
<ul>
<li>Equity                                                                                                 </li>
<li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
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 <a href="https://www.sigmacomputing.com/legal/candidate-privacy-notice" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Notice</a> 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. </div>

Sigmacomputing

Open jobs at Sigmacomputing

AI/ML PhD Intern (Summer 2027)

AI/ML PhD Intern (Summer 2027)

Data Engineer

Senior Security Engineer - Data Security

Software Engineer - Compiler

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