Level

Sigma Computing

Employment Counsel

Sigma Computing is hiring an Employment Counsel in San Francisco, United States. It pays $150k-$230k 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 role: aI is not part of the work.
  • The posting mentions Databricks among its tools and skills.
  • Level classes it as a senior role.
  • Sigma Computing has 76 other open roles on Level.

AI in this role

databricks

 

 

Sigma Computing is seeking an experienced employment counsel to provide legal guidance on all aspects of employment law across the organization. This role will partner closely with People Operations, leadership, and business teams to manage risk, ensure compliance, and support a positive employee experience in a fast-paced, high-growth technology environment.

Key Responsibilities

  • Provide legal advice on employment-related matters including onboarding, performance management, disciplinary actions, terminations, and reductions in force;
  • Ensure compliance with federal, state, and local employment laws and regulations (U.S. and, if applicable, international);
  • Draft, review, and update employment agreements, offer letters, contractor agreements, policies, and handbooks;
  • Advise on employee relations issues and dispute resolution;
  • Manage and oversee outside employment counsel and litigation matters;
  • Complete workplace investigations;
  • Partner with People Ops (HR) and Governance, Risk, & Compliance (GRC) teams on compliance training, and policy implementation;
  • Monitor changes in employment law and proactively recommend updates to company practices;
  • Support M&A, due diligence, and integration efforts related to employment matters as needed.

Qualifications

  • Juris Doctor (JD) from an accredited law school;
  • Active license to practice law in at least one U.S. jurisdiction;
  • 5+ years of experience practicing employment law (in-house experience at a technology or SaaS company preferred); 
  • Workplace investigation training and experience;
  • Strong knowledge of U.S. employment laws (FLSA, ADA, FMLA, Title VII, wage & hour, classification, etc.); 
  • Ability to provide practical, business-oriented legal advice is essential;
  • Workplace investigation training and experience;
  • Experience working closely with HR/People teams and senior leadership; and
  • Excellent communication, judgment, and stakeholder management skills.

Preferred Qualifications

  • Experience supporting global or distributed workforces;
  • Familiarity with immigration and mobility considerations in a tech environment;
  • Prior experience in a high-growth or startup company; and
  • Experience with employment aspects of M&A transactions.

Additional Job details

The base salary range for this position is $150k to $230k 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. 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

Employment Counsel at Sigma Computing rates 39 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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