Commercial Account Executive (NYC)
Sigma Computing is hiring a Commercial Account Executive (NYC) in New York, United States. It pays $100k a year and Level rates it ; you can apply on Sigma Computing.
Level's read on this job
- Little AI ●○○○ is how Level rates this sales role: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Salesforce and sales.
- Level classifies it as a mid-level role.
- Level lists 76 other open roles at Sigma Computing.
AI in this role
Drive new revenue, manage customer relationships, and expand the customer base in the business intelligence market.
About This Role
This is not your average Account Executive role. 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 customers, and directly contributing to the success of our organization.
Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles.
This role is based in New York City and will not be remote.
Who You Are:
- A go-getter who is hungry for personal growth and career advancement
- Someone who understands the power and value of data in driving innovation and business initiatives
- Someone who is principled, honest, humble, and hard-working
What You Care About:
- Learning from leaders who are dedicated to your success
- Working in a role you genuinely love with people you enjoy being around
- Making an impact in the fast-paced world of data
- Growing your leadership skills for a long and rewarding career
You’ll Contribute By:
- Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce
- Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales
- Owning your sales process — from first call to demo to proposal to proof of concept to contract
- Working alongside a team of motivated reps on a high-functioning, energetic team
- Bringing on new customers and developing advocates for Sigma in the business intelligence market
- Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives
- Generating new revenue for a rapidly growing company
Your Qualifications:
- Ideally 2+ years of experience closing deals
- Experience in the data space (Warehouses, Pipelines, Analytics, etc.) is preferred
- Background in high-tech software sales is preferred
- A track record of success in pipeline generation and quota attainment
- Partnership and co-selling experience is preferred
- Team player, hustler, all-around sales superstar
- Must be based in New York City (or be willing to relocate)
Additional Job details
The base salary range for this position is $100k 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.
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.
How we rate this
Commercial Account Executive (NYC) at Sigma Computing rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- This job starts at
- $100k
- Typical sales job
- $140k
This posting starts 29% below the typical sales job. See sales jobs
Questions you could be asked
- Tell me about a project where sales was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where b2b sales was part of your work. What did you do?
- Tell me about a project where pipeline generation was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Sales, Business Intelligence, B2b Sales, Pipeline Generation, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new sales jobs by email
One email a week with the new sales jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Sales roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step