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Two Sigma Ventures Jobs (NOW HIRING)

Engineering Manager

San Francisco, CA · On-site

$230K - $270K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Renewals Manager

San Francisco, CA · On-site

$100K - $120K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Staff AI/ML Engineer

New York, NY · On-site

$240K - $270K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Senior AI/ML Engineer

New York, NY · On-site

$240K - $270K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Renewals Manager

New York, NY · On-site

$100K - $120K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Technical Support Engineer

New York, NY · On-site

$90K - $115K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Employment Counsel

San Francisco, CA · On-site

$150K - $230K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

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Two Sigma Ventures information

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$22.5K

$80.8K

$143.5K

How much do two sigma ventures jobs pay per year?

As of Sep 5, 2026, the average yearly pay for two sigma ventures in the United States is $80,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $104,000.00 per year, depending on experience, location, and employer.

What is Two Sigma Ventures?

Two Sigma Ventures is the venture capital arm of Two Sigma, a technology-driven investment firm. The venture division focuses on investing in early-stage startups that leverage data science, machine learning, and advanced engineering to solve significant problems. They provide not only capital but also access to a network of experts and resources to help startups grow. Two Sigma Ventures invests across various industries, including fintech, healthcare, and enterprise software.

What are the typical responsibilities and challenges for an associate at Two Sigma Ventures?

Associates at Two Sigma Ventures are responsible for sourcing and evaluating potential investment opportunities, conducting market research, and supporting portfolio companies. A key challenge in this role is balancing the fast pace of deal flow with the need for thorough due diligence and analysis. Associates frequently collaborate with partners, entrepreneurs, and other team members to assess startups and execute investments. The role offers significant exposure to both the venture capital and technology sectors, which can provide valuable experience for career advancement within the industry.

What are the key skills and qualifications needed to thrive as a venture capital associate at Two Sigma Ventures, and why are they important?

To thrive as a Venture Capital Associate at Two Sigma Ventures, you need strong analytical skills, financial modeling expertise, and a background in business, finance, or quantitative fields. Familiarity with investment evaluation tools, deal sourcing platforms, and proficiency in Excel or data analytics software are typically required. Outstanding interpersonal skills, intellectual curiosity, and the ability to communicate complex ideas clearly set top performers apart. These skills are vital for identifying promising startups, conducting due diligence, and building strong relationships within the venture ecosystem.

What is the difference between Two Sigma Ventures vs Two Sigma Data Scientist?

AspectTwo Sigma VenturesTwo Sigma Data Scientist
Required CredentialsTypically requires venture capital, finance, or business background; some technical knowledgeRequires strong statistical, programming, and data analysis skills; advanced degree often preferred
Work EnvironmentStartup-like, focus on investments, strategic partnershipsResearch-focused, data-driven environment, analyzing large datasets
Employer & Industry UsageVenture capital arm of Two Sigma, investing in startupsPart of Two Sigma's technology team, applying data science to investment strategies

Two Sigma Ventures focuses on investing in startups and strategic growth, requiring business and finance expertise. In contrast, Two Sigma Data Scientists analyze data to inform investment decisions, requiring strong technical and analytical skills. Both roles operate within the same company but serve different functions—one in venture investing, the other in data analysis for investment strategies.

More about Two Sigma Ventures jobs

What states have the most Two Sigma Ventures jobs?

States with the most job openings for Two Sigma Ventures jobs include:

Infographic showing various Two Sigma Ventures job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $80,839 per year, or $38.9 per hour.

Senior/Group Product Manager, AI Ecosystem & Semantic Layer

Sigma Computing

San Francisco, CA • On-site

$200K - $250K/yr

Full-time

Medical, Retirement

Re-posted 25 days ago


Job description

AI only answers correctly when it can trust the data underneath it. This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy.
The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work. This is some of the most visible, fastest-growing surface area in the product.
The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it - get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge.
What you'll do
  • Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model.
  • Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI.
  • Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working.
  • Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge.
  • Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.
What we're looking for
  • 5+ years of product management experience in B2B SaaS, data platforms, analytics, or developer-facing products
  • Familiarity with MCP, APIs, or other machine-to-machine interfaces, and how agents consume structured data
  • Experience building or launching integrations with platforms like Slack, Microsoft Teams, or enterprise search tools such as Glean
  • Comfortable defining a CLI or other developer-facing product from the ground up
  • Strong understanding of data modeling concepts (semantic layers, metrics layers, dimensional modeling) and how they connect across a modern data stack
  • Some background in BI or analytics is a plus. You should be able to explain why a metric defined once in the semantic layer beats the same metric redefined five different ways across five different tools
Additional Job Details
The base salary range for this position is $200k - $250k annually, plus competitive equity and benefits packages.
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 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.