Data Product Operations Lead
•Today
| Verified Pay check_circle | Provided by the employer$125000 - $175000 per year |
|---|---|
| Hours | Full-time |
| Location | San Francisco, California |
About this job
Job Description
Job Description
Ready for your next career move? We are looking for a Data Product Operations Lead for our client in San Francisco, CA.
Our client is dedicated to fostering innovation, collaboration, and professional growth. If you're eager to contribute your skills, take on new challenges, and grow with a team that values your potential, this opportunity is for you.
Position Overview:
Responsibilities:
Required Qualifications:
Preferred Skills:
Salary: $125,000 - $175,000 / Year
If interested, you may contact:
Lisa Pelletier
Lisa.Pelletier@eclaro.com
646-695-2949
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.
Data Product Operations Lead
Job Number: 26-01911
Job Number: 26-01911
Ready for your next career move? We are looking for a Data Product Operations Lead for our client in San Francisco, CA.
Our client is dedicated to fostering innovation, collaboration, and professional growth. If you're eager to contribute your skills, take on new challenges, and grow with a team that values your potential, this opportunity is for you.
Position Overview:
- Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship.
- The Client is a fast-growing AI data startup.
- They are hiring Data Product Operations Leads with 1-8 years of experience to run the data projects behind their data platform.
- They want scrappy, analytical people who move fast.
- Demand is growing quickly, driven by most major big tech companies and the top AI labs, and this person will help the team keep up.
Responsibilities:
- Lead projects from start to finish.
- Will set requirements, line up resources and staffing, and get datasets delivered to customers.
- Make the data better, because the data is the product. That means research, working with voice actor contributors, and partnering with the Engineering and ML teams.
- Design, monitor and scale data pipelines, from 0-to-1 prototypes to 1toN production volume.
- Use metrics on throughput, quality and cost to find bottlenecks and fix them.
- Work with researchers at frontier AI labs, especially around deliveries.
Required Qualifications:
- 1-8 years in high-intensity settings, such as top-tier consulting, strategy and operations at a leading marketplace company, an early-stage startup, or a human data company.
- A scrappy, hard-working operator with a strong analytical mindset.
- SQL skills, or a willingness to learn SQL on the job. It isn't tested in interviews.
- A bachelor's degree.
- A top school is preferred, and audio or voice domain knowledge is a plus.
- Dealbreakers: Has owned a project or pipeline end to end, from early prototype through scaling in production.
- Baseline:
- 1-8 years of experience as a Management Consultant, Strategy and Operations Lead, or Product Operations Lead.
- Has led cross-functional workstreams across Ops, Product and Engineering.
- Strong product sense, and comfortable working with engineers.
Preferred Skills:
- Customer-facing experience with technical stakeholders.
- Proficiency in SQL.
- Experience in human data or AI training data.
Salary: $125,000 - $175,000 / Year
If interested, you may contact:
Lisa Pelletier
Lisa.Pelletier@eclaro.com
646-695-2949
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1309843883 Posted: 2026-11-11 Job Title: Data Product