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10X Jobs (NOW HIRING)

At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs ...

Senior Workday Analyst

Pleasanton, CA · On-site

$80 - $120/hr

At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs ...

Senior Workday Analyst

Pleasanton, CA · On-site

$80 - $120/hr

At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs ...

Sr. Program Manager

Pleasanton, CA · On-site

$151K - $204K/yr

As a 10X Program manager, you will be on high-energy, cross-functional teams that are developing important new products, both instruments and consumables, for our customers. You will partner closely ...

Director of Sales Training

Pleasanton, CA · On-site

$231K - $313K/yr

Strong scientific fluency - you can learn 10x Genomics products in depth and translate that knowledge for a sales audience. * Exceptional communication skills; you can simplify complex concepts ...

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10X information

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$10

$53

$80

How much do 10x jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for 10x in the United States is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $62.26 per hour, depending on experience, location, and employer.

What does '10X' mean in a job title?

In the context of job titles, '10X' refers to an individual—often a developer or engineer—who is considered to be ten times more productive or effective than their peers. The term is used to describe someone who delivers exceptional results, solves complex problems quickly, and contributes significantly to a team's success. While the concept is often debated, many tech companies seek '10X' talent to drive innovation and performance within their organizations.

What are some common challenges faced by engineers aiming to become '10X engineers' within a development team?

Engineers who strive to become '10X engineers' often encounter challenges such as balancing deep technical focus with effective collaboration and communication. While technical excellence is valued, working in a team setting requires sharing knowledge, mentoring others, and aligning with project goals. Maintaining sustainable productivity without burnout and ensuring code quality as well as documentation are also critical. Successful 10X engineers leverage their expertise to elevate the entire team, not just individual output.

What are the key skills and qualifications needed to thrive as a 10X Engineer, and why are they important?

To thrive as a 10X Engineer, you need deep expertise in software development, strong problem-solving abilities, and a track record of delivering high-impact technical solutions, often supported by a degree in computer science or related field. Mastery of programming languages, modern development frameworks, cloud platforms, and version control systems like Git are typically required. Exceptional communication, collaboration, and adaptability set top performers apart in this role. These skills ensure that engineers can drive innovation, efficiently solve complex challenges, and contribute significantly to business objectives.

What is the difference between 10X vs Data Analyst?

Aspect10XData Analyst
Required CredentialsTechnical skills, coding, problem-solvingDegree in statistics, mathematics, or related field
Work EnvironmentStartups, tech companies, innovation-focused firmsCorporate, consulting, or business environments
Industry UsageTech, startups, product developmentFinance, marketing, healthcare, business intelligence
Common Search IntentHigh-impact technical roles, productivity toolsData analysis, reporting, insights generation

The comparison between 10X and Data Analyst highlights that 10X professionals often possess advanced technical skills and work in innovative environments, focusing on high-impact projects. Data Analysts typically have a background in statistics and work across various industries to interpret data and generate reports. While both roles involve working with data, 10X roles emphasize technical expertise and problem-solving, whereas Data Analysts focus on data interpretation and business insights.

What cities are hiring for 10X jobs? Cities with the most 10X job openings:
What states have the most 10X jobs? States with the most job openings for 10X jobs include:

10x AI Engineer with Security Clearance

10x National Security

Leesburg, VA

Other

Posted 6 days ago


Job description

About 10x National Security
At 10x National Security, we build fast, mission-aligned software and AI capabilities that accelerate outcomes for national security. We are the team behind solutions like VDetect, Vortex HMI, and Voxaverse, and we thrive where others stall—on the edge, in the cloud, across enclaves, and under pressure. We work shoulder-to-shoulder with DoD and IC operators to deploy AI systems that are reliable, explainable, and operational in DDIL environments. We are looking for exceptional AI Engineers who want to do meaningful work—no hype, just impact. Role Overview
As an AI Engineer supporting one of our critical DoD customers, you will design, develop, and deploy artificial intelligence and machine learning capabilities into real-world operational environments. You will work closely with mission stakeholders, software developers, and DevSecOps teams to build secure, scalable, and robust AI systems. You will be expected to work across the lifecycle—data ingestion, model training, MLOps, and inference integration—under security constraints and in support of national defense objectives. This is not a research lab role. You will be building tools that get deployed and used. Key Responsibilities
Develop and deploy ML models and pipelines that support national security missions. Engineer production-ready AI solutions using Python, PyTorch, TensorFlow, etc. in edge or cloud environments. Collaborate with software teams to containerize, optimize, and integrate models into full-stack systems using Docker, Kubernetes, or equivalent. Implement MLOps pipelines using tools like MLFlow, ClearML, or SageMaker to enable model versioning, reproducibility, and CI/CD. Build and manage secure data workflows—feature stores, labeling pipelines, and synthetic data generation—for both unclassified and classified environments. Work directly with government operators, mission owners, and analysts to refine requirements and deploy mission-critical tools. Required Qualifications
U.S. Citizen with an active Secret or higher clearance (or clearable to Top Secret). Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Math, or a related technical field. 3+ years of experience developing and deploying machine learning models. Deep proficiency in Python and major AI/ML libraries (e.g., PyTorch, HuggingFace Transformers, scikit-learn). Strong experience with end-to-end MLOps and model deployment in containerized environments. Familiarity with security-first software development practices (e.g., static code analysis, SBOMs, STIGs, zero trust). Strong communication skills and the ability to work in cross-functional, agile teams. Preferred Qualifications
Experience integrating models with real-time systems or sensor data platforms. Familiarity with DoD AI guidance documents such as DoD 8000.01, RAIC, and NIST IR 8432. Why Join 10x National Security
Mission-Focused Culture: Every engineer at 10x is building something that matters. We don’t do slideware—we deploy. S3O3 Values: Speed, Science, Simplicity, Ownership, Openness, and Opportunity define how we operate. Startup Vibe, National Security Impact: Join a team that moves fast, thinks deeply, and works directly with warfighters and analysts to solve the hardest problems in defense and intelligence. Equity and Upside: Cash + equity packages available. Build something that you own. Ready to apply?
Submit your resume, GitHub profile, and a short write-up on a recent AI/ML project you’re proud of. Let us know what kind of impact you want to make.