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Ai Coder Jobs in California (NOW HIRING)

You'll help bring Coder's platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted ...

Head of Field and Events

San Francisco, CA ยท On-site

$193K - $295K/yr

Why Coder You will own a category-defining moment. AI is reshaping how software gets built, and Coder is the layer that makes it safe to do at scale. Our marketing runs on a clear narrative, a ...

New

... AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

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Showing results 1-20

Ai Coder information

See California salary details

$15

$27

$42

How much do ai coder jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for ai coder in California is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $34.18 per hour, depending on experience, location, and employer.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing a degree in computer science, data science, or related fields and working on AI projects or certifications can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized research organizations.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly valuable, and job opportunities are expected to increase as AI technology advances.

How much do AI coders make?

AI coders, also known as artificial intelligence software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior AI developers with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or companies with advanced AI projects.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
What cities in California are hiring for Ai Coder jobs? Cities in California with the most Ai Coder job openings:
Infographic showing various Ai Coder job openings in California as of July 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $56,433 per year, or $27.1 per hour.

Enterprise Account Manager (USA)

Coder

San Francisco, CA โ€ข On-site

$131K - $178K/yr

Full-time

Re-posted 16 days ago


Job description

Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You'll help bring Coder's platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver.
Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You'll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.
What you'll do here
  • Build and close a strong pipeline of enterprise accounts with large engineering organizations
  • Generate qualified opportunities through outbound prospecting and inbound leads
  • Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction
  • Collaborate with Sales Engineers to deliver a thorough technical evaluation
  • Partner with decision-makers and technical stakeholders throughout the sales cycle
  • Travel as needed to support deals and customer relationships

What we're looking for
  • Currently based in California
  • 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies)
  • 3+ years selling into Fortune 500 companies
  • Experience engaging with software engineering leaders and technical decision-makers
  • Understanding of DevOps, CI/CD, platform engineering, and developer tools
  • Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc)
  • Comfortable with outbound motion and partnering with Sales Engineers
  • Track record of exceeding quota and pipeline goals
  • Strong communication skills - written, verbal, and in presentations
  • Familiarity with different sales cycles (startup, midsize, enterprise)
  • Creative, analytical, and highly self-motivated
  • Ability to travel up to 15%

Bonus tacos if you have
  • A technical background or meaningful experience with open source software
  • Curiosity about emerging AI workflows, developer tools, and general tech trends

About Coder
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
Our use of AI in hiring
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
  • Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
  • Granola takes notes during our interview calls so our team can focus on the conversation with you.

All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.