Sigma Computing
From Sigma Computing's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The Role We're looking for an experienced Technical Recruiter to join our Talent Team.
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!
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.
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
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)
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.
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!
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.
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