Data Ops
San Francisco, CA · On-site
Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature. Data is vital to training frontier AI models, testing research hypotheses ...
Data Ops
San Francisco, CA · On-site
Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature. Data is vital to training frontier AI models, testing research hypotheses ...
Data Ops Engineer
San Diego, CA · On-site
$121K - $146K/yr
They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... the incident management process to ensure that incidents are documented and resolved quickly.
Data Ops Engineer
San Diego, CA · On-site
$121K - $146K/yr
They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... the incident management process to ensure that incidents are documented and resolved quickly.
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Partner with Product & Product Data Science to design how Ops will report on Marketplace metrics ... Enable Regional Demand Ops Managers Training: Own onboarding and training for Regional Demand Ops ...
Partner with Product & Product Data Science to design how Ops will report on Marketplace metrics ... Enable Regional Demand Ops Managers Training: Own onboarding and training for Regional Demand Ops ...
Product & Ops Lead
San Francisco, CA · On-site
Job Summary : Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in high-quality training data for various applications. The Product & Ops Lead will manage ...
Product & Ops Lead
San Francisco, CA · On-site
Job Summary : Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in high-quality training data for various applications. The Product & Ops Lead will manage ...
Partner with Product & Product Data Science to design how Ops will report on Marketplace metrics ... Enable Regional Demand Ops Managers Training: Own onboarding and training for Regional Demand Ops ...
Partner with Product & Product Data Science to design how Ops will report on Marketplace metrics ... Enable Regional Demand Ops Managers Training: Own onboarding and training for Regional Demand Ops ...
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Quick apply
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Marketing Ops Manager
Santa Monica, CA · On-site
$140K - $150K/yr
You'll ensure our marketing data is clean, our attribution is accurate, and our funnel metrics tell ... with Sales, Rev Ops, Product, and Customer Success. You communicate proactively, manage ...
Marketing Ops Manager
Santa Monica, CA · On-site
$140K - $150K/yr
You'll ensure our marketing data is clean, our attribution is accurate, and our funnel metrics tell ... with Sales, Rev Ops, Product, and Customer Success. You communicate proactively, manage ...
Data Operations Lead
San Francisco, CA · On-site
Responsibilities : • Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows • Drive platform growth: run acquisition campaigns ...
Data Operations Lead
San Francisco, CA · On-site
Responsibilities : • Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows • Drive platform growth: run acquisition campaigns ...
Data Ops Engineer VFDE
$121K - $146K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
$121K - $146K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site
$122K - $147K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site
$122K - $147K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site +1
$200K - $240K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site +1
$200K - $240K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site
$200K - $240K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Data Ops Engineer VFDE
San Diego, CA · On-site
$200K - $240K/yr
Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.
Engineer I
Dublin, CA · On-site
$99K - $130K/yr
... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...
Engineer I
Dublin, CA · On-site
$99K - $130K/yr
... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...
Revenue Ops Manager
Palo Alto, CA · Remote
$150K - $200K/yr
Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...
Revenue Ops Manager
Palo Alto, CA · Remote
$150K - $200K/yr
Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...
Paid Creative Ops Manager
Los Angeles, CA · On-site
$140K - $155K/yr
Identify what can be automated and ship it, partnering with Data and Eng where needed. * Cross ... Direct paid creative ops experience is a plus, but operational and analytical judgment matter more ...
Paid Creative Ops Manager
Los Angeles, CA · On-site
$140K - $155K/yr
Identify what can be automated and ship it, partnering with Data and Eng where needed. * Cross ... Direct paid creative ops experience is a plus, but operational and analytical judgment matter more ...
Mongo DBA
Sunnyvale, CA · On-site
$59.50 - $81/hr
... data, monitoring, analyzing, and tuning MongoDB. • In-depth knowledge of Ops Manager and Ops manager Upgrade. • Knowledge about Groups and Project in Ops Manager • Knowledge about ...
Quick apply
Mongo DBA
Sunnyvale, CA · On-site
$59.50 - $81/hr
... data, monitoring, analyzing, and tuning MongoDB. • In-depth knowledge of Ops Manager and Ops manager Upgrade. • Knowledge about Groups and Project in Ops Manager • Knowledge about ...
Engineer I
Dublin, CA · On-site
$99K - $130K/yr
Hands on DevOps/Data Ops experience required Experience working in an Agile Environment preferred ... Management Perks and Benefits of joining our team.. Our Associates are at the heart of everything ...
Engineer I
Dublin, CA · On-site
$99K - $130K/yr
Hands on DevOps/Data Ops experience required Experience working in an Agile Environment preferred ... Management Perks and Benefits of joining our team.. Our Associates are at the heart of everything ...
Data Ops Manager information
What are some common challenges faced by Data Ops Managers, and how can they be addressed?
Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.
Is data operations a good career?
Data operations is a growing field that involves managing and optimizing data workflows, often requiring skills in data management tools, scripting, and cloud platforms. It offers opportunities for advancement, competitive salaries, and the chance to work in various industries such as technology, finance, and healthcare.
What does a data operations manager do?
A data operations manager oversees the processes and systems that manage an organization’s data, ensuring data quality, security, and accessibility. They coordinate data workflows, implement data governance policies, and often work with tools like data pipelines and databases to support analytics and decision-making.
How much is the salary of an operations manager?
The salary of a Data Ops Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. Additional compensation may include bonuses and benefits, and strong skills in data management tools can influence earning potential.
What is the minimum salary of an operations manager?
The minimum salary for a Data Ops Manager varies by location and experience but typically starts around $70,000 to $90,000 annually in the United States. Entry-level positions or those in smaller markets may offer lower starting salaries, while experienced managers in larger companies or high-cost areas can earn significantly more.
What are Data Ops Managers?
Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.
What are the key skills and qualifications needed to thrive as a Data Ops Manager, and why are they important?
To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.
What is the difference between Data Ops Manager vs Data Engineer?
| Aspect | Data Ops Manager | Data Engineer |
|---|---|---|
| Primary Focus | Oversees data operations, workflows, and process optimization | Builds, constructs, and maintains data pipelines and infrastructure |
| Required Skills | Data management, process improvement, team coordination | Programming, database systems, ETL development |
| Certifications | Data management, cloud certifications often preferred | SQL, cloud platform certifications, programming languages |
| Work Environment | Collaborates with data teams, operations, and business units | Works closely with data scientists, analysts, and developers |
While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.
What are the most commonly searched types of Data Ops jobs in California? The most popular types of Data Ops jobs in California are:
What are popular job titles related to Data Ops Manager jobs in California? For Data Ops Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Ops Manager jobs in California look for? The top searched job categories for Data Ops Manager jobs in California are:
What cities in California are hiring for Data Ops Manager jobs? Cities in California with the most Data Ops Manager job openings:
Full-time
Re-posted 9 days ago
Job description
About Chai Discovery
Chai is a research lab working on generative models for molecular design. We are building AI infrastructure to engineer new medicines with speed and precision. The world's largest pharmaceutical companies-including Eli Lilly, Pfizer, and Novartis-have started adopting our platform across their organizations.
Our mission is to unlock progress towards better cures and better science, and we see countless interesting problems on the road ahead. We are known for talent density, rigorous research and pace of execution.
Our founders have been at the forefront of this field from the beginning. We are backed by Sequoia, Index, Thrive, General Catalyst, Dimension, OpenAI and others.
About the role
We are looking for a data operations expert, or a fast-rising generalist, to help drive data generation initiatives here at Chai. Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature.
Data is vital to training frontier AI models, testing research hypotheses, and supporting our partners. You will set the vision and execute scaling of Chai's lab-in-the-loop data platform, working hand-in-hand with our science and research teams. You don't need a biology background, but you will need to pick it up while learning about our AI methods.
This is a chance to push the boundaries of drug discovery and contribute to some of most advanced AI models ever imagined. Immerse yourself in technologies that represent the future of biotech, and position yourself at the forefront of this emerging field.
About you
Our ideal candidate can:
You have a deep desire to push the limits of what's possible and restless drive to solve real-world problems by iterating fast. Exposure to startups or other intense environments is important.
The opportunity to work at the leading edge of AI research, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.
Chai is a research lab working on generative models for molecular design. We are building AI infrastructure to engineer new medicines with speed and precision. The world's largest pharmaceutical companies-including Eli Lilly, Pfizer, and Novartis-have started adopting our platform across their organizations.
Our mission is to unlock progress towards better cures and better science, and we see countless interesting problems on the road ahead. We are known for talent density, rigorous research and pace of execution.
Our founders have been at the forefront of this field from the beginning. We are backed by Sequoia, Index, Thrive, General Catalyst, Dimension, OpenAI and others.
About the role
We are looking for a data operations expert, or a fast-rising generalist, to help drive data generation initiatives here at Chai. Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature.
Data is vital to training frontier AI models, testing research hypotheses, and supporting our partners. You will set the vision and execute scaling of Chai's lab-in-the-loop data platform, working hand-in-hand with our science and research teams. You don't need a biology background, but you will need to pick it up while learning about our AI methods.
This is a chance to push the boundaries of drug discovery and contribute to some of most advanced AI models ever imagined. Immerse yourself in technologies that represent the future of biotech, and position yourself at the forefront of this emerging field.
About you
Our ideal candidate can:
- Design & drive complex projects and workflows, across multi-party relationships.
- Translate research goals into concrete deliverables-experiments, deliverables, success criteria, SOWs, timelines, trackers, etc.
- Communicate highly technical information with clarity.
- Juggle concurrent projects and priorities, adapting quickly and keeping everyone in sync.
- Develop a vision for how we scale our data program by orders of magnitude.
You have a deep desire to push the limits of what's possible and restless drive to solve real-world problems by iterating fast. Exposure to startups or other intense environments is important.
- Organized and scrappy
- Detail-oriented and fast-moving
- Flexible, proactive, ambitious
The opportunity to work at the leading edge of AI research, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.