talentpluto

AI Data / Voice AI / Machine Learning Infrastructure

Data&ProductOperationsLead

New York, New York, United States; San Francisco, California, United States
The Brief

“Data & Product Operations Lead at talentpluto. Skills: Data projects, Operations, Execution. Own end-to-end execution of voice and audio data. Work cross-functionally with product teams”

What You'll Achieve.

Datasets delivered on time; Datasets meet high quality bar; Datasets useful for machine learning training

Industry & Context.

AI Data / Voice AI / Machine Learning Infrastructure
Problems you'll solve

Problem-solving; Troubleshoot bugs

What They're Looking For.

Must Have

2+ years of experience in consulting, 2+ years of experience in strategy & operations, 2+ years of experience in business operations, 2+ years of experience in investment banking, 2+ years of experience in private equity, 2+ years of experience in marketplace operations, 2+ years of experience in startup operations, 2+ years of experience in high-intensity operating environment, Project management skills, Ability to drive complex workstreams, Comfort working in ambiguous environments, Comfort working in fast-changing environments, Analytical skills, Problem-solving skills, Ability to work closely with technical teams, Ability to work closely with product teams, Ability to work closely with research teams, High ownership mentality, Willingness to operate across strategic work, Willingness to operate across execution-focused work

Nice to Have

Prior experience in a startup, Prior experience in a marketplace, Prior experience in consulting, Prior experience in finance, Prior experience in operationally complex business

What You'll Do.

Own end-to-end execution of voice and audio data

Work cross-functionally with product teams

Work cross-functionally with research teams

Work cross-functionally with engineering teams

Work cross-functionally with QA teams

Work cross-functionally with deployment teams

Manage workflows across internal teams

Manage workflows across speakers

Manage workflows across reviewers

Manage workflows across quality assurance processes

Ensure data projects meet quality standards

Ensure data projects meet delivery milestones

Identify process gaps

Identify operational bottlenecks

Identify opportunities for automation

Partner with engineering teams

Partner with platform teams

Help define project requirements

Translate business goals into operational plans

Translate research goals into operational plans

Maintain high bar for data quality

Maintain high bar for data usability

Maintain high bar for data consistency

Support multiple projects

Support multiple workstreams

How You'll Work.

Team & Collaboration

Cross-functional teams; Internal teams; Technical teams; Product teams; Research teams; Engineering teams; QA teams; Deployment teams; Platform teams

Process & Methodology

Project management, Drive complex workstreams

Free ATS check

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