Analysis Skills, Artificial Intelligence (AI), Automation, Business Operations, Communication Skills, Consulting, Cross-Functional, Data Quality, Data Sets, Detail Oriented, Finance, Identify Issues, Investment Services, Machine Learning, Machine Tool, Multitasking, Operations Planning, Operations Processes, Operations Research, Private Banking, Problem Solving Skills, Process Development, Project/Program Management, Quality Assurance, Quality Assurance Methodology, Quality Management, Quality Metrics, Requirements Management, Research Laboratory, Startup, Team Player, Technical Research, Time Management, Training Data Sets, Usability Engineering
LOCATION
San Francisco, CA
POSTED
7 days ago
Location: New York, NY or San Francisco, CA Work model: Onsite, 5 days per week Industry: AI Data / Voice AI / Machine Learning Infrastructure Compensation: Competitive base salary up to $200,000 + equity, depending on experience
About the Company
Our partner is a fast-growing AI data company building high-quality audio and voice datasets for leading AI research labs and technology companies. The team operates with a research- and product-led approach, creating reusable datasets that can be owned, improved, and iterated on over time, rather than only delivering one-off custom data projects. Their work helps AI teams train stronger models by improving the quality, structure, and usability of voice and audio data.
The Opportunity
Our partner is hiring a Data & Product Operations Lead to own the execution of complex data projects from start to finish. This person will sit at the center of operations, product, research, engineering, QA, and deployment teams, ensuring that datasets are delivered on time, meet a high quality bar, and are useful for machine learning model training.
This is a highly cross-functional role for a strong generalist who enjoys ambiguity, ownership, and fast-paced execution. The team is looking for operators who can manage projects, solve operational problems, work with technical teams, and help shape how high-quality data products are built at scale.
Responsibilities
Own end-to-end execution of voice and audio data projects, from project kickoff through delivery
Work cross-functionally with product, research, engineering, QA, and deployment teams
Manage workflows across internal teams, speakers, reviewers, and quality assurance processes
Ensure data projects meet required quality standards and delivery milestones
Identify process gaps, operational bottlenecks, and opportunities for automation
Partner with engineering and platform teams to troubleshoot bugs, improve tooling, and streamline workflows
Help define project requirements and translate business or research goals into operational plans
Maintain a high bar for data quality, usability, and consistency
Support multiple projects or workstreams as company priorities evolve
Requirements
2+ years of experience in consulting, strategy & operations, business operations, investment banking, private equity, marketplace operations, startup operations, or another high-intensity operating environment
Strong project management skills with the ability to drive complex workstreams across multiple stakeholders
Comfort working in ambiguous, fast-changing environments
Strong analytical and problem-solving skills
Ability to work closely with technical, product, and research teams
Excellent communication skills and strong attention to detail
High ownership mentality and willingness to operate across both strategic and execution-focused work
Interest in AI, data quality, voice/audio technology, or machine learning infrastructure
Prior experience in a startup, marketplace, consulting, finance, or operationally complex business is a plus