Location: New York City - in-office (on-site required)
Language: Fluent in Spanish, with the ability to conduct business-level conversations with customers
Key Responsibilities:- Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
- Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights.
- NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
- Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
- Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives.
- Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.
- Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
- 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
- Hands-on builder mentality: comfortable working directly inside the product (building dashboards, data models, or workflows) rather than only directing others to do the technical work.
- Experience navigating complex enterprise sales environments with multiple priorities and stakeholders.
- Strong analytical skills with a proven ability to solve complex problems using data.
- Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
- Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
- Experience with SQL, data visualization tools, and cloud-based analytics platforms (Snowflake, Databricks, Redshift, BigQuery).
- Experience implementing production business intelligence solutions.
Preferred Skills:
- Fluent in Spanish, with the ability to conduct business-level conversations with customers.
- ETL experience.
- Startup experience.
Additional Job details
The base salary range for this position is $132k - $165k 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.
If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.
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. 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 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.
Skills Required
- Bachelor's or Master's degree in Business, Analytics, Computer Science, or a related field
- 7+ years of experience in customer success, account management, or a consultative role within SaaS, analytics, or business intelligence
- Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
- Strong analytical skills and ability to solve complex problems using data
- Excellent communication and interpersonal skills
- Demonstrated ability to manage and grow customer accounts, focusing on net dollar retention
- Fluent Spanish with ability to conduct business-level customer conversations
- Working understanding of enterprise data architecture, including data lakes, data warehouses, and hybrid cloud environments
- Experience with SQL, data visualization tools, and cloud-based analytics platforms such as Snowflake, Databricks, Redshift, or BigQuery
- ETL experience
- Experience implementing production business intelligence solutions
- Startup experience
- Ability to work on-site in New York City
Sigma Computing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sigma Computing and has not been reviewed or approved by Sigma Computing.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage with added programs like Carrot (fertility), One Medical, Rightway care navigation, and Wellhub+, which together signal robust health and wellness support. Feedback suggests these offerings are a standout element of the package.
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Leave & Time Off Breadth — “Unlimited” PTO and paid parental/bonding leave are highlighted across careers materials and job posts, and PTO is described positively in employer‑verified summaries. Feedback suggests time‑off policies are broadly attractive even if usage varies by team.
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Wellbeing & Lifestyle Benefits — Daily lunches via DoorDash, office snacks/coffee, commuter support, and free Unagi scooter access create strong day‑to‑day convenience and wellness value. Feedback suggests these in‑office perks are widely appreciated.
Sigma Computing Insights
What We Do
Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.
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