About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Own the end-to-end delivery of data projects, from defining requirements and arranging staffing through to handing off finished datasets. Work closely with engineering and machine learning colleagues to improve data quality and scale the underlying pipelines, using performance metrics to find and remove bottlenecks.
What you'll do
- Lead data projects from start to finish, setting requirements, lining up resources and staffing, and getting deliverables to customers.
- Improve the quality of the data through research and collaboration with contributors and with engineering and machine learning colleagues.
- Design, monitor and scale data pipelines, from early prototypes to full production volume.
- Track throughput, quality and cost metrics to identify bottlenecks and resolve them.
- Partner with external research stakeholders, particularly around deliveries.
Requirements
What we're looking for
- 1 to 8 years of experience in a high-intensity environment such as consulting, strategy and operations, or an early-stage startup.
- Hands-on ownership of a project or pipeline from early prototype through production scale.
- Track record of leading cross-functional workstreams across operations, product and engineering.
- Strong product sense and comfort working alongside engineers.
- A scrappy, hard-working, analytical approach to problem solving.
- Familiarity with SQL, or willingness to learn it on the job.
- An undergraduate degree.
- Ability to work on-site five days a week.
Bonus points
- Degree from a highly regarded university.
- Strong SQL skills.
- Background in work involving large-scale data collection or labeling for machine learning.
- Experience working directly with technical customers or partners.
- Familiarity with speech or sound-related data.
Benefits
Compensation and benefits
- Base salary: USD 125,000 to 175,000 per year
- Equity
- Health, dental and vision coverage
- Flexible time off
- Retirement plan
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
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