Sigma ComputingTechnical Recruiter
Sigma Computing is hiring a Technical Recruiter in New York, United States. It pays $135k-$155k a year and Level rates it ; you can apply on Sigma Computing.
Level's read on this job
- Level rates this HR role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 8% above the typical HR posting on Level.
- Tools and skills the posting cites include Databricks, LinkedIn and GitHub.
- Level lists 78 other open roles at Sigma Computing.
- The role was posted within the past two weeks.
AI in this role
Own full-cycle technical recruiting for engineering, platform, and AI roles at Sigma.
About Sigma
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 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!
The Role
We're looking for an experienced Technical Recruiter to join our Talent Team. You’ll work closely with Engineering, partnering with hiring managers across Software Engineering, Data Engineering, Platform, and AI to own full-cycle recruiting for some of the most technically complex and high-impact roles at the company.
You should know how to identify, engage, and close exceptional talent, build trusted relationships with engineering leaders, and be a genuine ambassador for Sigma's mission and engineering culture.
Please note, this role is on-site four days per week in our San Francisco or New York office.
What You'll Do
- Own full-cycle recruiting for the Engineering Team, partnering closely with leadership and hiring managers to deeply understand technical requirements, business priorities, then translate them into sharp job positioning and sourcing strategies
- Build and maintain proactive talent pipelines through creative sourcing: LinkedIn, GitHub, Juicebox, conference networks, referral programs, niche communities, and more
- Craft compelling outreach that cuts through the noise and speaks authentically to engineers
- Ensure a consistent, high-quality candidate experience from first touch to offer
- Use data to inform decisions by tracking pipeline metrics, conversion rates, time-to-fill, and offer acceptance trends to continuously improve recruiting performance
- Contribute to employer branding efforts, including engineering blog content and organizing engineering talent meetups
- Stay current on compensation benchmarks and partner with People Ops to make competitive, equitable offers
- Build structured interviewing frameworks and equitable hiring practices
What We're Looking For
Required:
- 3–6 years of full-cycle technical recruiting experience, ideally at a high-growth SaaS or data/AI company
- Demonstrated success hiring for software engineering roles in competitive markets (SF and NYC)
- Strong sourcing skills across multiple channels
- Ability to understand and articulate technical concepts well enough to have credible conversations with engineers and hiring managers
- Data-driven mindset: you track your funnel, know your numbers, and iterate based on results
- Excellent communication and stakeholder management skills
- Experience with modern ATS platforms (Greenhouse, Ashby, or equivalent)
Additional Job Details
The base salary range for this position is $135K - $155K annually, plus a target annual bonus of 25% of base. On-target earnings (OTE) for this role are expected to be in the range of $169K - $194K, in addition to equity and benefits.
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. This role is eligible for an annual performance bonus, stock options, and 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
Technical Recruiter 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 HR jobs at this level
Pay
- This job starts at
- $135k
- Typical HR job
- $125k
This posting starts 8% above the typical HR job. See HR jobs
Questions you could be asked
- Tell me about a project where full cycle recruiting was part of your work. What did you do?
- Tell me about a project where technical recruiting was part of your work. What did you do?
- Tell me about a project where pipeline management was part of your work. What did you do?
- Tell me about a project where stakeholder management 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: Full Cycle Recruiting, Technical Recruiting, Pipeline Management, Stakeholder Management, 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.
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