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Data Operations Lead Jobs in California (NOW HIRING)

Data Operations Engineer

San Francisco, CA ยท On-site

$150K - $200K/yr

Data Labeling Operations: Manage the human element of our agentic stack across voice, reasoning and ... We don't wait for someone else to solve it - we lead with accountability and expect the same from ...

Data Partnerships Lead

Los Angeles, CA ยท On-site

$113K - $213K/yr

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

Data Partnerships Lead

Los Angeles, CA ยท On-site

$113K - $213K/yr

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

Data Partnerships Lead

Palo Alto, CA ยท On-site

$113K - $213K/yr

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

Revenue Operations Lead

San Francisco, CA ยท Remote

$90K - $160K/yr

We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ... About this role We are looking for a Revenue Operations Lead with 3+ years of experience to own the ...

Revenue Operations Lead

Los Angeles, CA ยท Remote

$90K - $160K/yr

We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ... About this role We are looking for a Revenue Operations Lead with 3+ years of experience to own the ...

Partner Operations Lead

San Francisco, CA ยท On-site +1

$179K/yr

Lead Strategy and Operations for Marketplace initiatives- ensuring Marketplace data and enrollments are represented in SFDC, defining the post-purchase customer and partner experience, determining ...

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Data Operations Lead information

See California salary details

$51.3K

$126.8K

$197.4K

How much do data operations lead jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data operations lead 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 jobs pay 200,000 a year in the USA?

In the USA, senior data operations roles such as Data Operations Lead, Data Director, or Chief Data Officer can earn $200,000 or more annually, especially with extensive experience, advanced skills in data management tools, and leadership responsibilities. High-paying roles often require a strong background in data governance, analytics, and relevant certifications, and may be found in large corporations or financial institutions.

What is a Data Operations Lead job?

A Data Operations Lead is responsible for overseeing data workflows, ensuring data accuracy, and optimizing data management processes within an organization. They collaborate with data engineers, analysts, and business teams to streamline data collection, processing, and governance. Their role includes maintaining data pipelines, improving data quality, and ensuring compliance with data security regulations. By implementing best practices and automation, they help improve efficiency and maximize the value of data for decision-making.

What are common challenges faced by a Data Operations Lead, and how can they be addressed?

Data Operations Leads often encounter challenges such as managing large-scale data integration from diverse sources, ensuring data quality and consistency, and automating processes to improve efficiency. These challenges require a proactive approach to troubleshooting, setting robust data governance standards, and collaborating closely with IT, analytics, and business teams. By fostering clear communication, leveraging modern data management tools, and establishing strong protocols, Data Operations Leads can effectively address these issues. This collaborative and strategic mindset ultimately helps organizations maximize the value of their data assets while minimizing operational risks.

What jobs pay $500,000 a year in the US?

High-level executive roles such as CEOs, CFOs, and other C-suite positions often reach or exceed $500,000 annually, especially in large corporations. Certain specialized roles like investment bankers, hedge fund managers, and successful entrepreneurs can also earn this level of income, often supplemented by bonuses, stock options, or profit sharing. Achieving this salary typically requires extensive experience, advanced skills, and significant responsibility.

What does a data operations lead do?

A data operations lead manages the processes and systems that handle data collection, storage, and quality assurance within an organization. They oversee data workflows, coordinate with data teams, and often use tools like SQL, data pipelines, and analytics platforms to ensure data accuracy and accessibility. Strong organizational and technical skills are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Operations Lead position, and why are they important?

To thrive as a Data Operations Lead, you need a strong background in data management, analytics, and process optimization, often supported by a degree in computer science, data science, or a related field. Proficiency with database platforms (such as SQL), ETL tools, cloud data services, and familiarity with data governance frameworks and certifications like Certified Data Management Professional (CDMP) are highly valuable. Exceptional leadership, problem-solving abilities, and strong communication skills help in guiding teams and collaborating with stakeholders. These competencies are crucial for maintaining data quality, streamlining operations, and ensuring that data initiatives align with organizational objectives.

What jobs in the US pay 300,000 a year?

For a Data Operations Lead, salaries of $300,000 or more annually are typically found in senior leadership roles such as Director or Vice President of Data, especially in large organizations or tech companies. High compensation may also require advanced skills in data management, analytics, and leadership, along with extensive experience and sometimes specialized certifications. These roles often involve strategic decision-making, managing teams, and overseeing large-scale data initiatives.
What are the most commonly searched types of Data Operations Lead jobs in California? The most popular types of Data Operations Lead jobs in California are:
What are popular job titles related to Data Operations Lead jobs in California? For Data Operations Lead jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations Lead jobs in California look for? The top searched job categories for Data Operations Lead jobs in California are:
Infographic showing various Data Operations Lead job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

Data Operations Engineer

HappyRobot Inc

San Francisco, CA โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday


Job description

About HappyRobot
HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
Role Overview:
We are looking for a Product Operations Engineer to act as the operational backbone of our product organization, you'll be working directly with the CTO and Head of Product. This is a role for a high-output technical individual contributor who loves discipline, structure, and execution. At HappyRobot, you will sit at the critical intersection of four key functions: Product Engineering, Deployments, Go-To-Market, and Operations. You are the connective tissue that ensures these teams are not just co-existing, but synchronized. You will be a generalist execution machine, deployed to solve the most important problems blocking our velocity-whether that means refining data pipelines, structuring pricing models, or managing complex deployment logistics.
Key Responsibilities:
  • The Bridge to Deployments: act as the primary link between the Product Engineering team and the Deployment team. You will ensure the Deployment team is enabled on new features, oversee the technical feedback loop from the field back to engineering, and guarantee new releases are successfully brought to market.
  • GTM & Commercial Enablement: Partner with GTM to drive technical enablement, support Product-Led Sales (PLS) motions, and refine feature pricing structures. You ensure the commercial side understands the technical reality and value of what we are shipping.
  • Metrics & Measurement: Work alongside Engineering and Strategy & Ops to define and track product and company metrics. You will get your hands dirty with raw data to ensure we are optimizing for the right outcomes.
  • Data Labeling Operations: Manage the human element of our agentic stack across voice, reasoning and coding agents. You will own the coordination of in-house labelers and external agencies to ensure high-quality training data throughput.

Who You Are:
  • A Technical Operator: You possess a rare mix of technical literacy (you understand APIs, data structures, and engineering constraints) and operational rigor. You don't just identify broken processes; you fix them.
  • A Cross-Functional Translator: You can speak the language of engineers, salespeople, and operations managers. You are comfortable being the person who aligns distinct teams toward a single objective.
  • Disciplined & Systems-Oriented: You find satisfaction in order. You are the person who creates the documentation, builds the dashboard, and sets up the automation that prevents future fires.
  • Driven by Impact: You are a "fixer." You don't need a perfectly defined path; you need a goal. You are happy to jump into a spreadsheet, a code editor, or a strategy meeting-whatever is required to solve the problem at hand.

Requirements:
  • 3+ years of experience in a technical or operations-heavy role (e.g., Product Operations, Solutions Engineering, Technology Strategy Consulting, Technical Program Management, or Forward Deployed Engineering).
  • Strong analytical & technical aptitude - be able to solve problems with technology.
  • Experience working in a multi-stakeholder environment, specifically interfacing between Engineering and Commercial/Field teams.
  • Ability to balance "big picture" strategic work (pricing, analysis) with "in the weeds" execution (data labeling coordination for RLHF, deployment coordination).

Why join us?
  • Opportunity to work at a high-growth AI startup, backed by top investors.
  • Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
  • Ownership & Autonomy - Take full ownership of projects and ship fast.
  • Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
  • Comprehensive Benefits - Healthcare, dental, vision coverage.
  • Work With the Best - Join a world-class team of engineers and builders

Our Operating Principles:
Extreme Ownership
We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting - if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it - we lead with accountability and expect the same from those around us.
Craftsmanship
Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call - we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build - even when nobody's watching.
We are "majos"
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon - not a sprint with no strategy.
Talent Density and Meritocracy
Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density - every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players - that's how we win.
First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible.
The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
For more information, visit https://www.happyrobot.ai/privacy-policy
By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.