AI Specialist Jobs in California
AI Specialist jobs in California are among the most active in the country, with strong demand from technology, healthcare, financial services, and autonomous systems sectors at every level from entry-level analyst through senior applied scientist. The largest concentrations of openings sit in San Francisco, San Jose, and Los Angeles, where employers such as Google, Apple, and Kaiser Permanente maintain significant AI teams. The most sought-after specialties in California include machine learning engineering, natural language processing, and computer vision. Find a role that fits below and apply directly.
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INTRODUCTION
The GTM Planning & Automation Specialist will help design, build, and scale Databricks’ next-gen global GTM planning processes. We are looking for a hungry, AI-native builder who views manual workflows as a technical challenge to solve. In this role, you will embed AI, and modern automation directly into our core planning workflows spanning territory assignment, quota modeling, and headcount tracking to transform how our global sales organization operates.
THE IMPACT YOU WILL HAVE
- AI-Driven Process Engineering – Design and deploy AI-assisted workflows and agents to automate territory design and account assignment
- Intelligent Headcount & Quota Execution – Reengineer the GTM headcount and capacity modeling processes that connect Finance, HR, and Sales data
- Next-Gen Planning Infrastructure – Move our infrastructure away from fragile, legacy spreadsheets and toward scalable code, automated data pipelines, and AI-prompt workflows that improve accuracy and speed up planning cycles
- Data & Tool Integration – Build lightweight integrations and automations that connect Salesforce, SQL databases, and internal Databricks tools to ensure real-time data flow
BASIC QUALIFICATIONS
- 2–4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role—ideally within a fast-paced technology environment
- AI-Native Mindset – Proactive builder who regularly uses LLMs, API integrations, and code (Python/SQL) to automate tasks, and orchestrate complex prompts
- Data & Coding Fundamentals – Strong proficiency in SQL and Python (or similar scripting languages) to extract, clean, and manipulate large data structures. Experience with BI tools and the Databricks platform is a plus
- Process Automation Toolkit – Hands-on experience building automations or using workflow automation tools to connect disparate data systems
- A strong bias for action
- Thrives in ambiguity and a high-growth environment
PAY RANGE TRANSPARENCY
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range $92,800—$127,600 USD
ABOUT DATABRICKS
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
INTRODUCTION
The GTM Planning & Automation Specialist will help design, build, and scale Databricks’ next-gen global GTM planning processes. We are looking for a hungry, AI-native builder who views manual workflows as a technical challenge to solve. In this role, you will embed AI, and modern automation directly into our core planning workflows spanning territory assignment, quota modeling, and headcount tracking to transform how our global sales organization operates.
THE IMPACT YOU WILL HAVE
- AI-Driven Process Engineering – Design and deploy AI-assisted workflows and agents to automate territory design and account assignment
- Intelligent Headcount & Quota Execution – Reengineer the GTM headcount and capacity modeling processes that connect Finance, HR, and Sales data
- Next-Gen Planning Infrastructure – Move our infrastructure away from fragile, legacy spreadsheets and toward scalable code, automated data pipelines, and AI-prompt workflows that improve accuracy and speed up planning cycles
- Data & Tool Integration – Build lightweight integrations and automations that connect Salesforce, SQL databases, and internal Databricks tools to ensure real-time data flow
BASIC QUALIFICATIONS
- 2–4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role—ideally within a fast-paced technology environment
- AI-Native Mindset – Proactive builder who regularly uses LLMs, API integrations, and code (Python/SQL) to automate tasks, and orchestrate complex prompts
- Data & Coding Fundamentals – Strong proficiency in SQL and Python (or similar scripting languages) to extract, clean, and manipulate large data structures. Experience with BI tools and the Databricks platform is a plus
- Process Automation Toolkit – Hands-on experience building automations or using workflow automation tools to connect disparate data systems
- A strong bias for action
- Thrives in ambiguity and a high-growth environment
PAY RANGE TRANSPARENCY
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range $92,800—$127,600 USD
ABOUT DATABRICKS
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
See All 21 AI Specialist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Specialist JobsAI Specialist Jobs by City in California
Where California roles are concentrated, by current openings.
AI Specialist Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Epson America3
- Apple2
- Faraday Future2
- Shield AI2
- Alignment Healthcare1
Top Industries Hiring
- Electronics & Hardware7
- Technology & Software7
- Aerospace & Defense2
- Automotive2
- Banking & Financial Services2
What California Employers Look For
The qualifications that appear most often in AI specialist jobs across California.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Demonstrated experience building and deploying machine learning models in production environments
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud platforms widely used in California tech, including Google Cloud, AWS, or Azure
- Strong communication skills for presenting model results to both technical and non-technical stakeholders
- Experience with data pipelines, feature engineering, and model evaluation on large-scale datasets
AI Specialist Jobs in California: Frequently Asked Questions
How do you become a ai specialist in California?
Most ai specialist roles in California require at minimum a bachelor's degree in computer science, data science, statistics, or a related field, with a master's degree preferred for research-focused or senior positions. California has no state-issued license specific to AI work, so hiring decisions center on demonstrated skills, portfolio projects, and relevant experience. Building a public portfolio on GitHub, completing recognized ML certifications, and contributing to open-source projects are concrete steps that strengthen a California application.
Which companies hire ai specialists in California?
Employers hiring ai specialists in California right now include Epson America, Apple, and Faraday Future, based on current listings on Migrate Mate as of June 2026. California's dense concentration of technology headquarters, health systems, and financial institutions means the employer mix is unusually broad, from enterprise software firms to life sciences companies building clinical AI tools.
Which California cities have the most ai specialist jobs?
San Francisco, Los Alamitos, and Los Angeles have the most ai specialist openings in California. The San Francisco Bay Area dominates because it is home to the headquarters of major technology and AI-native companies, while Los Angeles draws openings from entertainment technology, defense contractors, and a fast-growing startup ecosystem anchored by institutions such as UCLA and USC.
Are there remote ai specialist jobs in California?
Yes, and more than most fields. About 10% of ai specialist openings tied to California are remote or hybrid as of June 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than on-site lab or equipment access. Research roles and those requiring access to proprietary hardware or sensitive datasets are most likely to remain fully on-site.
How can I get hired as a ai specialist in California with little or no experience?
The most realistic entry path is an associate or junior machine learning engineer role, which many California technology companies use as a structured on-ramp for new graduates. Large employers including those headquartered in the Bay Area run rotational new-grad programs that move candidates through data engineering, model development, and deployment. Building a portfolio of end-to-end ML projects, contributing to open-source repositories, and earning a credential such as a Google or AWS machine learning certification gives candidates a concrete edge when applying to these programs.
Where can I find and apply to ai specialist jobs in California?
You can find and apply to ai specialist jobs in California on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, identify the ones that match your background and location preferences, and apply directly to each position without creating a profile or signing up.
See All 21 AI Specialist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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