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9 Figure Jobs (NOW HIRING)

Cruva

Customer Success Manager

Los Angeles, CA · Remote

$70K - $100K/yr

Our customers range from emerging labels to multi-nine-figure operations, including True Classic, Pixi Beauty, and QVC UK. Customer success at Cruva is not a support function. It is a growth function.

ATG intelligence

Research Scientist

New York, NY · On-site

$200K - $300K/yr

Early GPU cloud (9 figure exit). Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels. About the ...

Phia

Pitch Yourself

New York, NY · On-site

$60K - $220K/yr

We scan more than 350 million products to help shoppers find the right pieces at the best price, cutting return rates by 50%, and we're on pace for nine-figure sales growth this year. In an era where ...

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9 Figure information

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$40K

$111K

$246K

How much do 9 figure jobs pay per year?

As of Aug 10, 2026, the average yearly pay for 9 figure in the United States is $110,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $164,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a 9 figure?

I'm sorry, but '9 Figure' is not a recognized real-world professional occupation, so I cannot provide an answer to this query.

What is a 9 figure?

A '9 Figure' earner refers to an individual or business that earns, generates, or is valued at an amount ranging from $100,000,000 to $999,999,999 (nine figures) annually. This term is often used to describe highly successful entrepreneurs, investors, or companies that have reached significant financial milestones. Achieving nine-figure earnings typically requires a scalable business model, extensive industry experience, and strategic growth initiatives. These high earners are generally found in industries such as technology, finance, real estate, and entertainment.

What is the difference between 9 Figure vs Data Analyst?

Aspect9 FigureData Analyst
Required CredentialsHigh-level business and financial expertise, possibly MBA or equivalentBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentExecutive-level, strategic planning, high-stakes decision makingData collection, analysis, reporting in office or remote settings
Employer & Industry UsageFinance, tech, large corporations, startupsFinance, marketing, healthcare, tech companies

The main difference between 9 Figure and Data Analyst roles lies in their scope and seniority. 9 Figure professionals typically operate at an executive level, focusing on strategic financial growth, while Data Analysts handle data processing and insights at a more operational level. Both roles are vital in their respective domains but differ significantly in responsibilities and required experience.

What are some common challenges faced by executives leading 9-figure organizations, and how can applicants prepare to address them?

Executives in 9-figure organizations often contend with complex challenges such as managing large, diverse teams, ensuring effective communication across departments, and maintaining sustainable growth amidst intense market competition. Applicants should be prepared to demonstrate strategic thinking, adaptability, and a proven ability to drive results at scale. Familiarity with advanced financial management, corporate governance, and stakeholder engagement is also crucial for success in this demanding environment.
More about 9 Figure jobs
What cities are hiring for 9 Figure jobs? Cities with the most 9 Figure job openings:
What states have the most 9 Figure jobs? States with the most job openings for 9 Figure jobs include:
What job categories do people searching 9 Figure jobs look for? The top searched job categories for 9 Figure jobs are:
9 Figure jobs near you
Infographic showing various 9 Figure job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $110,982 per year, or $53.4 per hour.

Member of Technical Staff (Research Engineering)

ATG intelligence

New York, NY • On-site

$180K - $260K/yr

Full-time

Re-posted 25 days ago

Job description

About us
ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.
Founders: Early GPU cloud (9 figure exit).
Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels.
About the Role
You'll bridge research and engineering-rapidly implementing, experimenting with, and scaling new algorithms and models. You'll work closely with scientists and founders to translate ideas into high-performance systems, and will operate across the stack from prototyping to deployment.
Responsibilities
  • Prototype and scale experimental models (LLMs, RL agents, agentic systems) on large, real-world data.
  • Build tools and pipelines for training, evaluation, and analysis.
  • Implement state-of-the-art research from papers and iterate in collaboration with scientists.
  • Own the full ML lifecycle: data engineering, experimentation, training, and deployment.
  • Operate in a highly autonomous, engineering-driven environment.

Requirements
  • Strong background in deep learning, reinforcement learning, or computational modeling.
  • Expert-level Python and significant experience in ML frameworks (PyTorch, JAX, TensorFlow).
  • Ability to translate research into robust, scalable systems.
  • Experience with distributed computing or large-scale ML pipelines.
  • Demonstrated curiosity and hands-on experimentation skills.
  • Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure.

Why Join ATG
We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you.
  • Work on AI with a massive market opportunity
  • Early team of repeat founders backed by top investors
  • High agency, talent dense, zero bureaucracy

Apply