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Data Operations Jobs in California (NOW HIRING)

Suno

Lead, ML Data Operations

San Francisco, CA · On-site

$300K - $360K/yr

About the Role We're looking for a Lead of ML Data Operations to build and lead a new function at Suno. This team owns how we source and develop the data that powers our models. You'll work closely ...

Apple

ML Data Operations Engineer

Cupertino, CA · On-site

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

Brain Corp

Senior Data Operations Analyst

San Diego, CA · On-site

$91K - $115K/yr

Position Overview The Senior Data Operations Analyst owns the hands-on work behind our operational data - turning raw, multi-stage robotic and fleet data into trustworthy, well-defined, and monitored ...

Brain Corp

Senior Data Operations Analyst

San Diego, CA · On-site

$91K - $115K/yr

Position Overview The Senior Data Operations Analyst owns the hands-on work behind our operational data - turning raw, multi-stage robotic and fleet data into trustworthy, well-defined, and monitored ...

Apple

ML Data Operations Engineer

Cupertino, CA

$184K - $324K/yr

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

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All JobsData Operations JobsData Operations Jobs in California

Data Operations information

See California salary details

$51.3K

$126.8K

$197.4K

How much do data operations jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data operations in California is $126,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in California? The most popular types of Data Operations jobs in California are:
What are popular job titles related to Data Operations jobs in California? For Data Operations jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in California look for? The top searched job categories for Data Operations jobs in California are:
What cities in California are hiring for Data Operations jobs? Cities in California with the most Data Operations job openings:
Data Operations jobs near you
Infographic showing various Data Operations job openings in California as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, 3% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

Lead, ML Data Operations

Suno

San Francisco, CA • On-site

$300K - $360K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it's incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
We're looking for a Lead of ML Data Operations to build and lead a new function at Suno. This team owns how we source and develop the data that powers our models. You'll work closely with Research and Product to understand what's needed and figuring out how to deliver it, whether through external partners, in-product collection, or both. You'll also build this function from the ground up so expect real ownership and real ambiguity in equal measure!
What You'll Do
  • Source, evaluate, and manage relationships with external data labeling vendors, from initial scoping through contracts, quality oversight, and ongoing performance
  • Partner with ML researchers to understand data requirements and develop concrete plans to meet them
  • Identify opportunities to improve how Suno collects data with product and engineering
  • Build and lead the team, systems, and processes that make data sourcing a reliable, repeatable capability
  • Contribute to a data-driven model development culture as part of a close-knit team of researchers, engineers, and product builders
  • Support our mission of making creative fulfillment a daily reality for everyone

What You'll Need
Must-Haves
  • 6-8+ years of experience in ML data operations, training data, or data labeling programs with direct experience managing external labeling vendors, building internal labeling systems, or both
  • Demonstrated leadership at a director or equivalent level, with a track record of building teams or functions that didn't previously exist
  • Comfort and excitement with operating with a high degree of autonomy where the path isn't fully defined
  • Strong cross-functional instincts across Research, Product, and Engineering
Nice-to-Haves
  • Background at a foundational model company or data labeling organization
  • Experience influencing how product features are designed with training data collection in mind
  • Familiarity with music, audio, or creative AI

Work Location Policy
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Additional Notes
Applicants must be eligible to work in the US.
Perks & Benefits for Full-Time Employees
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

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